We are looking for postdocs to join LAMP group working on Diffusion Models.
- Accelerate
- Image Restoration
- Colorization
- Face Restoration
- Storytelling
- Virtual Try On
- Drag Edit
- Diffusion Inversion
- Text-Guided Editing
- Continual Learning
- Remove Concept
- New Concept Learning
- T2I augmentation
- Spatial Control
- Image Translation
- Seg & Detect & Track
- Adding Conditions
- Few-Shot
- Inpainting
- Layout
- Text Generation
- Super Resolution
- Video Generation
- Video Editing
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
[ICLR 2024 Spotlight]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
SDXL-Turbo: Adversarial Diffusion Distillation
[Website]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
[Website]
[Diffusers 1]
[Diffusers 2]
[Project]
[Code]
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
[Website]
[Diffusers]
[Project]
[Code]
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
[Website]
[Project]
[Code]
DMD2: Improved Distribution Matching Distillation for Fast Image Synthesis
[NeurIPS 2024 Oral]
[Project]
[Code]
DMD1: One-step Diffusion with Distribution Matching Distillation
[CVPR 2024]
[Project]
[Code]
Consistency Models
[ICML 2023](https://doi.org/10.48550/arXiv.2410.11081]
[Diffusers]
[Code]
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
[CVPR 2024]
[Project]
[Code]
SwiftBrush V2: Make Your One-Step Diffusion Model Better Than Its Teacher
[ECCV 2024]
[Project]
[Code]
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
[CVPR 2024]
[Project]
[Code]
PCM : Phased Consistency Model
[NeurIPS 2024]
[Project]
[Code]
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
[NeurIPS 2024]
[Project]
[Code]
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
[NeurIPS 2024]
[Project]
[Code]
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
[Website]
[Project]
[Code]
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
[Website]
[Project]
[Code]
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
[Website]
[Project]
[Code]
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
[Website]
[Project]
[Code]
Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
[Website]
[Project]
[Code]
Adaptive Caching for Faster Video Generation with Diffusion Transformers
[Website]
[Project]
[Code]
FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
[Website]
[Project]
[Code]
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
[Website]
[Project]
[Code]
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
[Website]
[Project]
[Code]
Reward Guided Latent Consistency Distillation
[Website]
[Project]
[Code]
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
[Website]
[Project]
[Code]
Relational Diffusion Distillation for Efficient Image Generation
[ACM MM 2024 (Oral)]
[Code]
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
[CVPR 2024]
[Code]
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
[ECCV 2024]
[Code]
Accelerating Image Generation with Sub-path Linear Approximation Model
[ECCV 2024]
[Code]
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
[NeurIPS 2023]
[Code]
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
[NeurIPS 2024]
[Code]
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
[ICML 2024]
[Code]
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
[ICML 2024]
[Code]
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
[ICLR 2024]
[Code]
Accelerating Vision Diffusion Transformers with Skip Branches
[Website]
[Code]
Accelerating Diffusion Transformers with Dual Feature Caching
[Website]
[Code]
One Step Diffusion via Shortcut Models
[Website]
[Code]
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach
[Website]
[Code]
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
[Website]
[Code]
Stable Consistency Tuning: Understanding and Improving Consistency Models
[Website]
[Code]
SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models
[Website]
[Code]
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
[Website]
[Code]
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
[Website]
[Code]
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
[Website]
[Code]
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation
[Website]
[Code]
Diffusion Models Are Innate One-Step Generators
[Website]
[Code]
Distilling Diffusion Models into Conditional GANs
[ECCV 2024]
[Project]
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
[CVPR 2024]
[Project]
Plug-and-Play Diffusion Distillation
[CVPR 2024]
[Project]
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
[NeurIPS 2023]
[Project]
Diffusion Adversarial Post-Training for One-Step Video Generation
[Website]
[Project]
SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance
[Website]
[Project]
NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
[Website]
[Project]
Truncated Consistency Models
[Website]
[Project]
Multi-student Diffusion Distillation for Better One-step Generators
[Website]
[Project]
Effortless Efficiency: Low-Cost Pruning of Diffusion Models
[Website]
[Project]
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
[NeurIPS 2024]
One-Step Diffusion Distillation through Score Implicit Matching
[NeurIPS 2024]
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
[AAAI 2025]
Inference-Time Diffusion Model Distillation
[Website]
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free
[Website]
HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration
[Website]
Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models
[Website]
MLCM: Multistep Consistency Distillation of Latent Diffusion Model
[Website]
EM Distillation for One-step Diffusion Models
[Website]
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
[Website]
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
[Website]
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference
[Website]
Importance-based Token Merging for Diffusion Models
[Website]
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation
[Website]
Accelerating Diffusion Models with One-to-Many Knowledge Distillation
[Website]
Accelerating Video Diffusion Models via Distribution Matching
[Website]
TDDSR: Single-Step Diffusion with Two Discriminators for Super Resolution
[Website]
DDIL: Improved Diffusion Distillation With Imitation Learning
[Website]
OSV: One Step is Enough for High-Quality Image to Video Generation
[Website]
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
[Website]
Token Caching for Diffusion Transformer Acceleration
[Website]
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
[Website]
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
[Website]
Flow Generator Matching
[Website]
Multistep Distillation of Diffusion Models via Moment Matching
[Website]
SFDDM: Single-fold Distillation for Diffusion models
[Website]
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
[Website]
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
[Website]
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
[Website]
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training
[Website]
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
[Website]
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
[NeurIPS 2024]
[Project]
[Code]
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
[NeurIPS 2024]
[Project]
[Code]
DeepCache: Accelerating Diffusion Models for Free
[CVPR 2024]
[Project]
[Code]
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
[NeurIPS 2024]
[Code]
DiTFastAttn: Attention Compression for Diffusion Transformer Models
[NeurIPS 2024]
[Code]
Structural Pruning for Diffusion Models
[NeurIPS 2023]
[Code]
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
[ICCV 2023]
[Code]
Agent Attention: On the Integration of Softmax and Linear Attention
[ECCV 2024]
[Code]
Token Merging for Fast Stable Diffusion
[CVPRW 2024]
[Code]
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration
[Website]
[Code]
Real-Time Video Generation with Pyramid Attention Broadcast
[Website]
[Code]
Accelerating Diffusion Transformers with Token-wise Feature Caching
[Website]
[Code]
TGATE-V1: Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models
[Website]
[Code]
TGATE-V2: Faster Diffusion via Temporal Attention Decomposition
[Website]
[Code]
SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers
[Website]
[Code]
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
[CVPR 2024]
[Project]
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
[Website]
[Project]
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
[WACV 2024]
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
[Website]
PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future
[Website]
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
[Website]
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
[Website]
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences
[Website]
Fast constrained sampling in pre-trained diffusion models
[Website]
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[ICLR 2023 oral]
[Project]
[Code]
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
[CVPR 2024]
[Project]
[Code]
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
[CVPR 2024]
[Project]
[Code]
Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
[CVPR 2024]
[Project]
[Code]
From Posterior Sampling to Meaningful Diversity in Image Restoration
[ICLR 2024]
[Project]
[Code]
Generative Diffusion Prior for Unified Image Restoration and Enhancement
[CVPR 2023]
[Project]
[Code]
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
[ECCV 2024]
[Project]
[Code]
Image Restoration with Mean-Reverting Stochastic Differential Equations
[ICML 2023]
[Project]
[Code]
PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
[NeurIPS 2024 Spotlight]
[Project]
[Code]
Denoising Diffusion Models for Plug-and-Play Image Restoration
[CVPR 2023 Workshop NTIRE]
[Project]
[Code]
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration
[Website]
[Project]
[Code]
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
[Website]
[Project]
[Code]
SVFR: A Unified Framework for Generalized Video Face Restoration
[Website]
[Project]
[Code]
Solving Video Inverse Problems Using Image Diffusion Models
[Website]
[Project]
[Code]
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
[Website]
[Project]
[Code]
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
[Website]
[Project]
[Code]
FlowIE: Efficient Image Enhancement via Rectified Flow
[CVPR 2024 oral]
[Code]
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
[NeurIPS 2023 (Spotlight)]
[Code]
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
[ICML 2023 oral]
[Code]
Diffusion Priors for Variational Likelihood Estimation and Image Denoising
[NeurIPS 2024 Spotlight]
[Code]
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
[CVPR 2024]
[Code]
DiffIR: Efficient Diffusion Model for Image Restoration
[ICCV 2023]
[Code]
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
[ECCV 2024]
[Code]
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
[ECCV 2024]
[Code]
DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problem
[ECCV 2024]
[Code]
Low-Light Image Enhancement with Wavelet-based Diffusion Models
[SIGGRAPH Asia 2023]
[Code]
Residual Denoising Diffusion Models
[CVPR 2024]
[Code]
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
[CVPR 2024]
[Code]
Deep Equilibrium Diffusion Restoration with Parallel Sampling
[CVPR 2024]
[Code]
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
[NeurIPS 2024]
[Code]
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
[NeurIPS 2024]
[Code]
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
[CVPR 2023 Workshop NTIRE]
[Code]
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement
[CVPR 2024 Workshop NTIRE]
[Code]
Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression
[Website]
[Code]
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
[Website]
[Code]
UniProcessor: A Text-induced Unified Low-level Image Processor
[Website]
[Code]
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
[Website]
[Code]
Varformer: Adapting VAR's Generative Prior for Image Restoration
[Website]
[Code]
Low-Light Image Enhancement via Generative Perceptual Priors
[Website]
[Code]
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
[Website]
[Code]
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement
[Website]
[Code]
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
[Website]
[Code]
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
[Website]
[Code]
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
[Website]
[Code]
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
[Website]
[Code]
Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior
[Website]
[Code]
Frequency Compensated Diffusion Model for Real-scene Dehazing
[Website]
[Code]
Efficient Image Deblurring Networks based on Diffusion Models
[Website]
[Code]
Blind Image Restoration via Fast Diffusion Inversion
[Website]
[Code]
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
[Website]
[Code]
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
[Website]
[Code]
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
[Website]
[Code]
Unlimited-Size Diffusion Restoration
[Website]
[Code]
VmambaIR: Visual State Space Model for Image Restoration
[Website]
[Code]
Using diffusion model as constraint: Empower Image Restoration Network Training with Diffusion Model
[Website]
[Code]
Super-resolving Real-world Image Illumination Enhancement: A New Dataset and A Conditional Diffusion Model
[Website]
[Code]
TIP: Text-Driven Image Processing with Semantic and Restoration Instructions
[ECCV 2024]
[Project]
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
[NeurIPS 2024]
[Project]
GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration
[Website]
[Project]
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
[Website]
[Project]
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
[Website]
[Project]
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
[ICCV 2023]
Multiscale Structure Guided Diffusion for Image Deblurring
[ICCV 2023]
Boosting Image Restoration via Priors from Pre-trained Models
[CVPR 2024]
A Modular Conditional Diffusion Framework for Image Reconstruction
[Website]
Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model
[Website]
Particle-Filtering-based Latent Diffusion for Inverse Problems
[Website]
Bayesian Conditioned Diffusion Models for Inverse Problem
[Website]
ReCo-Diff: Explore Retinex-Based Condition Strategy in Diffusion Model for Low-Light Image Enhancement
[Website]
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration
[Website]
Tell Me What You See: Text-Guided Real-World Image Denoising
[Website]
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
[Website]
Prototype Clustered Diffusion Models for Versatile Inverse Problems
[Website]
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
[Website]
Taming Generative Diffusion for Universal Blind Image Restoration
[Website]
Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL
[Website]
TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration
[Website]
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior
[Website]
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling
[Website]
Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration
[Website]
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process
[Website]
Diffusion State-Guided Projected Gradient for Inverse Problems
[Website]
InstantIR: Blind Image Restoration with Instant Generative Reference
[Website]
Score-Based Variational Inference for Inverse Problems
[Website]
Towards Flexible and Efficient Diffusion Low Light Enhancer
[Website]
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
[Website]
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
[Website]
DiffMVR: Diffusion-based Automated Multi-Guidance Video Restoration
[Website]
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
[Website]
DIVD: Deblurring with Improved Video Diffusion Model
[Website]
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration
[Website]
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization
[Website]
Are Conditional Latent Diffusion Models Effective for Image Restoration?
[Website]
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration
[Website]
DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration
[Website]
ColorFlow: Retrieval-Augmented Image Sequence Colorization
[Website]
[Project]
[Code]
Control Color: Multimodal Diffusion-based Interactive Image Colorization
[Website]
[Project]
[Code]
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior
[Website]
[Project]
[Code]
MangaNinja: Line Art Colorization with Precise Reference Following
[Website]
[Project]
[Code]
ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text
[Website]
[Code]
Diffusing Colors: Image Colorization with Text Guided Diffusion
[SIGGRAPH Asia 2023]
[Project]
VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization
[Website]
[Project]
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
[Website]
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
[Website]
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
[Website]
[Project]
[Code]
OSDFace: One-Step Diffusion Model for Face Restoration
[Website]
[Project]
[Code]
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
[Website]
[Project]
[Code]
InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention
[Website]
[Project]
[Code]
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
[CVPR 2023]
[Code]
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
[NeurIPS 2023]
[Code]
DifFace: Blind Face Restoration with Diffused Error Contraction
[Website]
[Code]
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior
[Website]
[Code]
RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
[Website]
[Code]
Towards Real-World Blind Face Restoration with Generative Diffusion Prior
[Website]
[Code]
Towards Unsupervised Blind Face Restoration using Diffusion Prior
[Website]
[Project]
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration
[Website]
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models
[Website]
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration
[Website]
Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling
[Website]
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
[Website]
DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration
[Website]
⭐⭐Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
[CVPR 2024]
[Project]
[Code]
⭐⭐Training-Free Consistent Text-to-Image Generation
[SIGGRAPH 2024]
[Project]
[Code]
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
[SIGGRAPH 2024]
[Project]
[Code]
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
[Website]
[Project]
[Code]
AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation
[Website]
[Project]
[Code]
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
[Website]
[Project]
[Code]
StoryGPT-V: Large Language Models as Consistent Story Visualizers
[Website]
[Project]
[Code]
Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
[Website]
[Project]
[Code]
TaleCrafter: Interactive Story Visualization with Multiple Characters
[Website]
[Project]
[Code]
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
[Website]
[Project]
[Code]
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation
[Website]
[Project]
[Code]
ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions
[Website]
[Project]
[Code]
Manga Generation via Layout-controllable Diffusion
[Website]
[Project]
[Code]
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
[ECCV 2024]
[Code]
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
[CVPR 2023]
[Code]
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization
[AAAI 2025]
[Code]
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
[Website]
[Code]
SEED-Story: Multimodal Long Story Generation with Large Language Model
[Website]
[Code]
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
[Website]
[Code]
Masked Generative Story Transformer with Character Guidance and Caption Augmentation
[Website]
[Code]
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
[Website]
[Code]
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
[Website]
[Code]
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
[Website]
[Project]
Multi-Shot Character Consistency for Text-to-Video Generation
[Website]
[Project]
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising
[Website]
[Project]
Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis
[ICASSP 2024]
CogCartoon: Towards Practical Story Visualization
[Website]
Generating coherent comic with rich story using ChatGPT and Stable Diffusion
[Website]
Improved Visual Story Generation with Adaptive Context Modeling
[Website]
Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control
[Website]
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
[Website]
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
[Website]
ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
[Website]
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection
[Website]
StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
[Website]
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention
[Website]
TryOnDiffusion: A Tale of Two UNets
[CVPR 2023]
[Website]
[Project]
[Official Code]
[Unofficial Code]
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
[CVPR 2024]
[Project]
[Code]
VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding
[Website]
[Project]
[Code]
IMAGDressing-v1: Customizable Virtual Dressing
[Website]
[Project]
[Code]
OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person
[Website]
[Project]
[Code]
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
[Website]
[Project]
[Code]
ViViD: Video Virtual Try-on using Diffusion Models
[Website]
[Project]
[Code]
FashionComposer: Compositional Fashion Image Generation
[Website]
[Project]
[Code]
GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting
[Website]
[Project]
[Code]
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images
[Website]
[Project]
[Code]
From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation
[Website]
[Project]
[Code]
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
[Website]
[Project]
[Code]
StableGarment: Garment-Centric Generation via Stable Diffusion
[Website]
[Project]
[Code]
Improving Diffusion Models for Virtual Try-on
[Website]
[Project]
[Code]
D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
[ECCV 2024]
[Code]
Improving Virtual Try-On with Garment-focused Diffusion Models
[ECCV 2024]
[Code]
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
[CVPR 2024]
[Code]
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
[ACM MM 2023]
[Code]
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
[ACM MM 2023]
[Code]
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
[Website]
[Code]
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Model
[Website]
[Code]
Learning Flow Fields in Attention for Controllable Person Image Generation
[Website]
[Code]
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling
[Website]
[Code]
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
[Website]
[Code]
Consistent Human Image and Video Generation with Spatially Conditioned Diffusion
[Website]
[Code]
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
[Website]
[Code]
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
[Website]
[Code]
M&M VTO: Multi-Garment Virtual Try-On and Editing
[CVPR 2024 Highlight]
[Project]
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
[ECCV 2024]
[Project]
Fashion-VDM: Video Diffusion Model for Virtual Try-On
[SIGGRAPH Asia 2024]
[Project]
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos
[Website]
[Project]
Masked Extended Attention for Zero-Shot Virtual Try-On In The Wild
[Website]
[Project]
TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
[Website]
[Project]
Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All
[Website]
[Project]
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment
[Website]
[Project]
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers
[Website]
[Project]
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
[Website]
[Project]
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
[Website]
[Project]
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
[IJCAI 2024]
GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon
[Website]
WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on
[Website]
Product-Level Try-on: Characteristics-preserving Try-on with Realistic Clothes Shading and Wrinkles
[Website]
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models
[Website]
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models
[Website]
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On
[Website]
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
[Website]
AnyDesign: Versatile Area Fashion Editing via Mask-Free Diffusion
[Website]
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing
[Website]
TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
[Website]
Controllable Human Image Generation with Personalized Multi-Garments
[Website]
RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation
[Website]
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
[Website]
IGR: Improving Diffusion Model for Garment Restoration from Person Image
[Website]
DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On
[Website]
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder
[Website]
Fashionability-Enhancing Outfit Image Editing with Conditional Diffusion Models
[Website]
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer
[Website]
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
[ICLR 2024]
[Website]
[Project]
[Code]
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
[SIGGRAPH 2023]
[Project]
[Code]
Readout Guidance: Learning Control from Diffusion Features
[CVPR 2024 Highlight]
[Project]
[Code]
FreeDrag: Feature Dragging for Reliable Point-based Image Editing
[CVPR 2024]
[Project]
[Code]
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
[CVPR 2024]
[Project]
[Code]
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
[Website]
[Project]
[Code]
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
[Website]
[Project]
[Code]
Repositioning the Subject within Image
[Website]
[Project]
[Code]
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction
[Website]
[Project]
[Code]
ObjCtrl-2.5D: Training-free Object Control with Camera Poses
[Website]
[Project]
[Code]
DragAnything: Motion Control for Anything using Entity Representation
[Website]
[Project]
[Code]
InstantDrag: Improving Interactivity in Drag-based Image Editing
[Website]
[Project]
[Code]
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
[CVPR 2024]
[Code]
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation
[CVPR 2024]
[Code]
DragVideo: Interactive Drag-style Video Editing
[ECCV 2024]
[Code]
RotationDrag: Point-based Image Editing with Rotated Diffusion Features
[Website]
[Code]
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
[Website]
[Project]
DragText: Rethinking Text Embedding in Point-based Image Editing
[Website]
[Project]
OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation
[Website]
[Project]
FastDrag: Manipulate Anything in One Step
[Website]
[Project]
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
[Website]
[Project]
StableDrag: Stable Dragging for Point-based Image Editing
[Website]
[Project]
DiffUHaul: A Training-Free Method for Object Dragging in Images
[Website]
[Project]
RegionDrag: Fast Region-Based Image Editing with Diffusion Models
[Website]
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
[Website]
Combing Text-based and Drag-based Editing for Precise and Flexible Image Editing
[Website]
AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing
[Website]
⭐⭐⭐Null-text Inversion for Editing Real Images using Guided Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Code]
⭐⭐Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
[ICLR 2024]
[Website]
[Project]
[Code]
⭐Inversion-Based Creativity Transfer with Diffusion Models
[CVPR 2023]
[Website]
[Code]
⭐EDICT: Exact Diffusion Inversion via Coupled Transformations
[CVPR 2023]
[Website]
[Code]
⭐Improving Negative-Prompt Inversion via Proximal Guidance
[Website]
[Code]
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
[CVPR 2024]
[Project]
[Code]
[Demo]
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
[NeurIPS 2023]
[Website]
[Code]
Inversion-Free Image Editing with Natural Language
[CVPR 2024]
[Project]
[Code]
LEDITS++: Limitless Image Editing using Text-to-Image Models
[CVPR 2024]
[Project]
[Code]
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
[ICLR 2024]
[Website]
[Code]
ReNoise: Real Image Inversion Through Iterative Noising
[ECCV 2024]
[Project]
[Code]
IterInv: Iterative Inversion for Pixel-Level T2I Models
[NeurIPS-W 2023]
[Openreview]
[NeuripsW]
[Website]
[Code]
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
[Website]
[Project]
[Code]
Object-aware Inversion and Reassembly for Image Editing
[Website]
[Project]
[Code]
Taming Rectified Flow for Inversion and Editing
[Website]
[Project]
[Code]
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance
[ICCV 2023]
[Code]
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
[ECCV 2024]
[Code]
LocInv: Localization-aware Inversion for Text-Guided Image Editing
[CVPR 2024 AI4CC workshop]
[Code]
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
[IJCAI 2024]
[Code]
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
[Website]
[Code]
Generating Non-Stationary Textures using Self-Rectification
[Website]
[Code]
Exact Diffusion Inversion via Bi-directional Integration Approximation
[Website]
[Code]
IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models
[Website]
[Code]
Fixed-point Inversion for Text-to-image diffusion models
[Website]
[Code]
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing
[Website]
[Code]
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion
[ICCV 2023 Oral]
[Website]
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
[NeurIPS 2024]
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
[NeurIPS 2024]
BARET : Balanced Attention based Real image Editing driven by Target-text Inversion
[WACV 2024]
Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing
[ICASSP 2024]
Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing
[Website]
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
[Website]
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
[Website]
Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models
[Website]
SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing
[Website]
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
[Website]
KV Inversion: KV Embeddings Learning for Text-Conditioned Real Image Action Editing
[Website]
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing
[Website]
LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance
[Website]
Dual-Schedule Inversion: Training- and Tuning-Free Inversion for Real Image Editing
[Website]
Exploring Optimal Latent Trajetory for Zero-shot Image Editing
[Website]
⭐⭐⭐Prompt-to-Prompt Image Editing with Cross Attention Control
[ICLR 2023]
[Website]
[Project]
[Code]
[Replicate Demo]
⭐⭐⭐Zero-shot Image-to-Image Translation
[SIGGRAPH 2023]
[Project]
[Code]
[Replicate Demo]
[Diffusers Doc]
[Diffusers Code]
⭐⭐InstructPix2Pix: Learning to Follow Image Editing Instructions
[CVPR 2023 (Highlight)]
[Website]
[Project]
[Diffusers Doc]
[Diffusers Code]
[Official Code]
[Dataset]
⭐⭐Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
[CVPR 2023]
[Website]
[Project]
[Code]
[Dataset]
[Replicate Demo]
[Demo]
⭐DiffEdit: Diffusion-based semantic image editing with mask guidance
[ICLR 2023]
[Website]
[Unofficial Code]
[Diffusers Doc]
[Diffusers Code]
⭐Imagic: Text-Based Real Image Editing with Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Diffusers]
⭐Inpaint Anything: Segment Anything Meets Image Inpainting
[Website]
[Code 1]
[Code 2]
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
[ICCV 2023]
[Website]
[Project]
[Code]
[Demo]
Collaborative Score Distillation for Consistent Visual Synthesis
[NeurIPS 2023]
[Website]
[Project]
[Code]
Visual Instruction Inversion: Image Editing via Visual Prompting
[NeurIPS 2023]
[Website]
[Project]
[Code]
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
[NeurIPS 2023]
[Website]
[Code]
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
[ICCV 2023]
[Website]
[Project]
[Code]
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
[Website]
[Code1]
[Code2]
[Diffusers Code]
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
[Website]
[Project]
[Code]
[Demo]
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
[CVPR 2024]
[Project]
[Code]
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
[CVPR 2024]
[Project]
[Code]
Text-Driven Image Editing via Learnable Regions
[CVPR 2024]
[Project]
[Code]
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
[ICLR 2024]
[Project]
[Code]
TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models
[SIGGRAPH Asia 2024]
[Project]
[Code]
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
[NeurIPS 2024]
[Project]
[Code]
Zero-shot Image Editing with Reference Imitation
[Website]
[Project]
[Code]
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
[Website]
[Project]
[Code]
MultiBooth: Towards Generating All Your Concepts in an Image from Text
[Website]
[Project]
[Code]
Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting
[Website]
[Project]
[Code]
StyleBooth: Image Style Editing with Multimodal Instruction
[Website]
[Project]
[Code]
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
[Website]
[Project]
[Code]
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
[Website]
[Project]
[Code]
InsightEdit: Towards Better Instruction Following for Image Editing
[Website]
[Project]
[Code]
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
[Website]
[Project]
[Code]
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
[Website]
[Project]
[Code]
HIVE: Harnessing Human Feedback for Instructional Visual Editing
[Website]
[Project]
[Code]
FaceStudio: Put Your Face Everywhere in Seconds
[Website]
[Project]
[Code]
Edicho: Consistent Image Editing in the Wild
[Website]
[Project]
[Code]
Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach
[Website]
[Project]
[Code]
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
[Website]
[Project]
[Code]
FreeEdit: Mask-free Reference-based Image Editing with Multi-modal Instruction
[Website]
[Project]
[Code]
MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance
[Website]
[Project]
[Code]
LIME: Localized Image Editing via Attention Regularization in Diffusion Models
[Website]
[Project]
[Code]
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
[Website]
[Project]
[Code]
MagicQuill: An Intelligent Interactive Image Editing System
[Website]
[Project]
[Code]
Scaling Concept With Text-Guided Diffusion Models
[Website]
[Project]
[Code]
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
[Website]
[Project]
[Code]
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models
[Website]
[Project]
[Code]
FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning
[Website]
[Project]
[Code]
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
[Website]
[Project]
[Code]
Delta Denoising Score
[Website]
[Project]
[Code]
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
[Website]
[Project]
[Code]
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
[SIGGRAPH 2023]
[Code]
Learning to Follow Object-Centric Image Editing Instructions Faithfully
[EMNLP 2023]
[Code]
GroupDiff: Diffusion-based Group Portrait Editing
[ECCV 2024]
[Code]
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
[CVPR 2024]
[Code]
ZONE: Zero-Shot Instruction-Guided Local Editing
[CVPR 2024]
[Code]
Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation
[CVPR 2024]
[Code]
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
[ECCV 2024]
[Code]
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
[ECCV 2024]
[Code]
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing
[ECCV 2024]
[Code]
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
[AAAI 2024]
[Code]
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
[AAAI 2024]
[Code]
Face Aging via Diffusion-based Editing
[BMVC 2023]
[Code]
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing
[Website]
[Code]
FlexEdit: Marrying Free-Shape Masks to VLLM for Flexible Image Editing
[Website]
[Code]
Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing
[Website]
[Code]
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
[Website]
[Code]
DiT4Edit: Diffusion Transformer for Image Editing
[Website]
[Code]
FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors
[Website]
[Code]
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
[Website]
[Code]
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
[Website]
[Code]
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
[Website]
[Code]
Differential Diffusion: Giving Each Pixel Its Strength
[Website]
[Code]
Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing
[Website]
[Code]
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
[Website]
[Code]
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
[Website]
[Code]
Forgedit: Text Guided Image Editing via Learning and Forgetting
[Website]
[Code]
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing
[Website]
[Code]
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control
[Website]
[Code]
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
[Website]
[Code]
Unified Diffusion-Based Rigid and Non-Rigid Editing with Text and Image Guidance
[Website]
[Code]
SpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image Editing
[Website]
[Code]
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
[Website]
[Code]
PromptFix: You Prompt and We Fix the Photo
[Website]
[Code]
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation
[Website]
[Code]
Conditional Score Guidance for Text-Driven Image-to-Image Translation
[NeurIPS 2023]
[Website]
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
[CVPR 2024]
[Project]
ByteEdit: Boost, Comply and Accelerate Generative Image Editing
[ECCV 2024]
[Project]
Watch Your Steps: Local Image and Scene Editing by Text Instructions
[ECCV 2024]
[Project]
TurboEdit: Instant text-based image editing
[ECCV 2024]
[Project]
Novel Object Synthesis via Adaptive Text-Image Harmony
[NeurIPS 2024]
[Project]
Textualize Visual Prompt for Image Editing via Diffusion Bridge
[AAAI 2025]
[Project]
UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics
[Website]
[Project]
HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads
[Website]
[Project]
MultiEdits: Simultaneous Multi-Aspect Editing with Text-to-Image Diffusion Models
[Website]
[Project]
Object-level Visual Prompts for Compositional Image Generation
[Website]
[Project]
Instruction-based Image Manipulation by Watching How Things Move
[Website]
[Project]
BrushEdit: All-In-One Image Inpainting and Editing
[Website]
[Project]
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
[Website]
[Project]
FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers
[Website]
[Project]
SeedEdit: Align Image Re-Generation to Image Editing
[Website]
[Project]
Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection
[Website]
[Project]
Generative Image Layer Decomposition with Visual Effects
[Website]
[Project]
Editable Image Elements for Controllable Synthesis
[Website]
[Project]
SGEdit: Bridging LLM with Text2Image Generative Model for Scene Graph-based Image Editing
[Website]
[Project]
SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion
[Website]
[Project]
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
[Website]
[Project]
UIP2P: Unsupervised Instruction-based Image Editing via Cycle Edit Consistency
[Website]
[Project]
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models
[Website]
[Project]
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers
[Website]
[Project]
FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing
[Website]
[Project]
GeoDiffuser: Geometry-Based Image Editing with Diffusion Models
[Website]
[Project]
SOEDiff: Efficient Distillation for Small Object Editing
[Website]
[Project]
Click2Mask: Local Editing with Dynamic Mask Generation
[Website]
[Project]
Stable Flow: Vital Layers for Training-Free Image Editing
[Website]
[Project]
Iterative Multi-granular Image Editing using Diffusion Models
[WACV 2024]
Text-to-image Editing by Image Information Removal
[WACV 2024]
TexSliders: Diffusion-Based Texture Editing in CLIP Space
[SIGGRAPH 2024]
Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models
[CVPR 2023 AI4CC Workshop]
Learning Feature-Preserving Portrait Editing from Generated Pairs
[Website]
EmoEdit: Evoking Emotions through Image Manipulation
[Website]
DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images
[Website]
LayerDiffusion: Layered Controlled Image Editing with Diffusion Models
[Website]
iEdit: Localised Text-guided Image Editing with Weak Supervision
[Website]
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques
[Website]
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
[Website]
PRedItOR: Text Guided Image Editing with Diffusion Prior
[Website]
FEC: Three Finetuning-free Methods to Enhance Consistency for Real Image Editing
[Website]
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
[Website]
Image Translation as Diffusion Visual Programmers
[Website]
Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing
[Website]
LoMOE: Localized Multi-Object Editing via Multi-Diffusion
[Website]
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
[Website]
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation
[Website]
InstructGIE: Towards Generalizable Image Editing
[Website]
LASPA: Latent Spatial Alignment for Fast Training-free Single Image Editing
[Website]
Uncovering the Text Embedding in Text-to-Image Diffusion Models
[Website]
Tuning-Free Adaptive Style Incorporation for Structure-Consistent Text-Driven Style Transfer
[Website]
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion
[Website]
Text Guided Image Editing with Automatic Concept Locating and Forgetting
[Website]
The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP
[Website]
LIPE: Learning Personalized Identity Prior for Non-rigid Image Editing
[Website]
Achieving Complex Image Edits via Function Aggregation with Diffusion Models
[Website]
Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing
[Website]
InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion Models
[Website]
PixLens: A Novel Framework for Disentangled Evaluation in Diffusion-Based Image Editing with Object Detection + SAM
[Website]
Augmentation-Driven Metric for Balancing Preservation and Modification in TextGuided Image Editing
[Website]
Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing
[Website]
ERDDCI: Exact Reversible Diffusion via Dual-Chain Inversion for High-Quality Image Editing
[Website]
ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models
[Website]
ColorEdit: Training-free Image-Guided Color editing with diffusion model
[Website]
GalaxyEdit: Large-Scale Image Editing Dataset with Enhanced Diffusion Adapter
[Website]
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing
[Website]
Pathways on the Image Manifold: Image Editing via Video Generation
[Website]
LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair
[Website]
Action-based image editing guided by human instructions
[Website]
Addressing Attribute Leakages in Diffusion-based Image Editing without Training
[Website]
Prompt Augmentation for Self-supervised Text-guided Image Manipulation
[Website]
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation
[Website]
Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance
[Website]
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Code]
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
[ECCV 2024 Oral]
[Code]
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
[NeurIPS 2024]
[Code]
CLoG: Benchmarking Continual Learning of Image Generation Models
[Website]
[Code]
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
[Website]
[Code]
Continual Learning of Diffusion Models with Generative Distillation
[Website]
[Code]
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
[Website]
[Code]
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
[TMLR]
[Project]
Assessing Open-world Forgetting in Generative Image Model Customization
[Website]
[Project]
Class-Incremental Learning using Diffusion Model for Distillation and Replay
[ICCV 2023 VCL workshop best paper]
Create Your World: Lifelong Text-to-Image Diffusion
[Website]
Low-Rank Continual Personalization of Diffusion Models
[Website]
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
[Website]
Online Continual Learning of Video Diffusion Models From a Single Video Stream
[Website]
Exploring Continual Learning of Diffusion Models
[Website]
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
[Website]
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
[Website]
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
[Website]
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
[Website]
MuseumMaker: Continual Style Customization without Catastrophic Forgetting
[Website]
Towards Lifelong Few-Shot Customization of Text-to-Image Diffusion
[Website]
Ablating Concepts in Text-to-Image Diffusion Models
[ICCV 2023]
[Website]
[Project]
[Code]
Erasing Concepts from Diffusion Models
[ICCV 2023]
[Website]
[Project]
[Code]
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
[Website]
[Project]
[Code]
One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
[Website]
[Project]
[Code]
Editing Massive Concepts in Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
Memories of Forgotten Concepts
[Website]
[Project]
[Code]
STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models
[Website]
[Project]
[Code]
ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling
[Website]
[Project]
[Code]
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
[Website]
[Project]
[Code]
ACE: Anti-Editing Concept Erasure in Text-to-Image Models
[Website]
[Code]
Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models
[ICML 2023 workshop]
[Code]
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
[ECCV 2024]
[Code]
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
[ECCV 2024]
[Code]
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
[NeurIPS 2024]
[Code]
Unveiling Concept Attribution in Diffusion Models
[Website]
[Code]
TraSCE: Trajectory Steering for Concept Erasure
[Website]
[Code]
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
[Website]
[Code]
ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion
[Website]
[Code]
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
[Website]
[Code]
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
[Website]
[Code]
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
[Website]
[Code]
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
[Website]
[Code]
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure
[Website]
[Code]
Add-SD: Rational Generation without Manual Reference
[Website]
[Code]
RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining
[Website]
[Project]
MACE: Mass Concept Erasure in Diffusion Models
[CVPR 2024]
EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
[Website]
Continuous Concepts Removal in Text-to-image Diffusion Models
[Website]
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models
[Website]
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
[Website]
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
[Website]
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Model
[Website]
Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
[Website]
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models
[Website]
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers
[Website]
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models
[Website]
EraseDiff: Erasing Data Influence in Diffusion Models
[Website]
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
[Website]
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts
[Website]
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model
[Website]
Pruning for Robust Concept Erasing in Diffusion Models
[Website]
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
[Website]
Unlearning Concepts from Text-to-Video Diffusion Models
[Website]
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts
[Website]
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
[Website]
Understanding the Impact of Negative Prompts: When and How Do They Take Effect?
[Website]
Model Integrity when Unlearning with T2I Diffusion Models
[Website]
Learning to Forget using Hypernetworks
[Website]
Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
[Website]
AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
[Website]
EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques
[Website]
⭐⭐⭐DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
[CVPR 2023 Honorable Mention]
[Website]
[Project]
[Official Dataset]
[Unofficial Code]
[Diffusers Doc]
[Diffusers Code]
⭐⭐⭐An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
[ICLR 2023 top-25%]
[Website]
[Diffusers Doc]
[Diffusers Code]
[Code]
⭐⭐Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion
[CVPR 2023]
[Website]
[Project]
[Diffusers Doc]
[Diffusers Code]
[Code]
⭐⭐ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
[ECCV 2024]
[Project]
[Code]
⭐⭐ReVersion: Diffusion-Based Relation Inversion from Images
[Website]
[Project]
[Code]
⭐SINE: SINgle Image Editing with Text-to-Image Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Code]
⭐Break-A-Scene: Extracting Multiple Concepts from a Single Image
[SIGGRAPH Asia 2023]
[Project]
[Code]
⭐Concept Decomposition for Visual Exploration and Inspiration
[SIGGRAPH Asia 2023]
[Project]
[Code]
Cones: Concept Neurons in Diffusion Models for Customized Generation
[ICML 2023 Oral]
[ICML 2023 Oral]
[Website]
[Code]
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
[NeurIPS 2023]
[Website]
[Project]
[Code]
Inserting Anybody in Diffusion Models via Celeb Basis
[NeurIPS 2023]
[Website]
[Project]
[Code]
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
[NeurIPS 2023]
[Website]
[Project]
[Code]
Photoswap: Personalized Subject Swapping in Images
[NeurIPS 2023]
[Website]
[Project]
[Code]
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
[NeurIPS 2023]
[Website]
[Project]
[Code]
ITI-GEN: Inclusive Text-to-Image Generation
[ICCV 2023 Oral]
[Website]
[Project]
[Code]
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
[ICCV 2023]
[Website]
[Project]
[Code]
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
[ICCV 2023 Oral]
[Website]
[Code]
A Neural Space-Time Representation for Text-to-Image Personalization
[SIGGRAPH Asia 2023]
[Project]
[Code]
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
[SIGGRAPH 2023]
[Project]
[Code]
Is This Loss Informative? Speeding Up Textual Inversion with Deterministic Objective Evaluation
[NeurIPS 2023]
[Website]
[Code]
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
[ECCV 2024]
[Project]
[Code]
Face2Diffusion for Fast and Editable Face Personalization
[CVPR 2024]
[Project]
[Code]
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
[CVPR 2024]
[Project]
[Code]
CapHuman: Capture Your Moments in Parallel Universes
[CVPR 2024]
[Project]
[Code]
Style Aligned Image Generation via Shared Attention
[CVPR 2024]
[Project]
[Code]
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition
[CVPR 2024]
[Project]
[Code]
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization
[CVPR 2024]
[Project]
[Code]
Material Palette: Extraction of Materials from a Single Image
[CVPR 2024]
[Project]
[Code]
Learning Continuous 3D Words for Text-to-Image Generation
[CVPR 2024]
[Project]
[Code]
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
[AAAI 2024]
[Project]
[Code]
Direct Consistency Optimization for Compositional Text-to-Image Personalization
[NeurIPS 2024]
[Project]
[Code]
The Hidden Language of Diffusion Models
[ICLR 2024]
[Project]
[Code]
ZeST: Zero-Shot Material Transfer from a Single Image
[ECCV 2024]
[Project]
[Code]
UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization
[Website]
[Project]
[Code]
MagicFace: Training-free Universal-Style Human Image Customized Synthesis
[Website]
[Project]
[Code]
LCM-Lookahead for Encoder-based Text-to-Image Personalization
[Website]
[Project]
[Code]
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
[Website]
[Project]
[Code]
AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation
[Website]
[Project]
[Code]
MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
[Website]
[Project]
[Code]
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
[Website]
[Project]
[Code]
MasterWeaver: Taming Editability and Identity for Personalized Text-to-Image Generation
[Website]
[Project]
[Code]
Customizing Text-to-Image Models with a Single Image Pair
[Website]
[Project]
[Code]
DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation
[Website]
[Project]
[Code]
ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving
[Website]
[Project]
[Code]
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning
[Website]
[Project]
[Code]
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
[Website]
[Project]
[Code]
Customizing Text-to-Image Diffusion with Camera Viewpoint Control
[Website]
[Project]
[Code]
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
[Website]
[Project]
[Code]
StyleDrop: Text-to-Image Generation in Any Style
[Website]
[Project]
[Code]
Personalized Representation from Personalized Generation
[Website]
[Project]
[Code]
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
[Website]
[Project]
[Code]
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
[Website]
[Project]
[Code]
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
[Website]
[Project]
[Code]
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion
[Website]
[Project]
[Code]
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models
[Website]
[Project]
[Code]
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Positive-Negative Prompt-Tuning
[Website]
[Project]
[Code]
SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing
[Website]
[Project]
[Code]
CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation
[Website]
[Project]
[Code]
InstantID: Zero-shot Identity-Preserving Generation in Seconds
[Website]
[Project]
[Code]
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
[Website]
[Project]
[Code]
Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction
[Website]
[Project]
[Code]
CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization
[Website]
[Project]
[Code]
DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
Magic Mirror: ID-Preserved Video Generation in Video Diffusion Transformers
[Website]
[Project]
[Code]
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
[Website]
[Project]
[Code]
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models
[Website]
[Project]
[Code]
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition
[Website]
[Project]
[Code]
StableIdentity: Inserting Anybody into Anywhere at First Sight
[Website]
[Project]
[Code]
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Model
[Website]
[Project]
[Code]
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder
[Website]
[Project]
[Code]
EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance
[Website]
[Project]
[Code]
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models
[Website]
[Project]
[Code]
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
[Website]
[Project]
[Code]
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
[Website]
[Project]
[Code]
CSGO: Content-Style Composition in Text-to-Image Generation
[Website]
[Project]
[Code]
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models
[NeurIPS 2024]
[Code]
Customized Generation Reimagined: Fidelity and Editability Harmonized
[ECCV 2024]
[Code]
Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning
[ECCV 2024]
[Code]
High-fidelity Person-centric Subject-to-Image Synthesis
[CVPR 2024]
[Code]
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
[SIGGRAPH Asia 2023]
[Code]
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
[WACV 2025]
[Code]
Multiresolution Textual Inversion
[NeurIPS 2022 workshop]
[Code]
Compositional Inversion for Stable Diffusion Models
[AAAI 2024]
[Code]
Decoupled Textual Embeddings for Customized Image Generation
[AAAI 2024]
[Code]
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
[NeurIPS 2024]
[Code]
TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation
[Website]
[Code]
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation
[Website]
[Code]
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
[Website]
[Code]
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
[Website]
[Code]
PuLID: Pure and Lightning ID Customization via Contrastive Alignment
[Website]
[Code]
Cross Initialization for Personalized Text-to-Image Generation
[Website]
[Code]
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach
[Website]
[Code]
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
[Website]
[Code]
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation
[Website]
[Code]
AerialBooth: Mutual Information Guidance for Text Controlled Aerial View Synthesis from a Single Image
[Website]
[Code]
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
[Website]
[Code]
FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization
[Website]
[Code]
Controllable Textual Inversion for Personalized Text-to-Image Generation
[Website]
[Code]
Cross-domain Compositing with Pretrained Diffusion Models
[Website]
[Code]
Concept-centric Personalization with Large-scale Diffusion Priors
[Website]
[Code]
Customization Assistant for Text-to-image Generation
[Website]
[Code]
Cross Initialization for Personalized Text-to-Image Generation
[Website]
[Code]
Cones 2: Customizable Image Synthesis with Multiple Subjects
[Website]
[Code]
LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models
[Website]
[Code]
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization
[Website]
[Code]
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium
[Website]
[Code]
CusConcept: Customized Visual Concept Decomposition with Diffusion Models
[Website]
[Code]
HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation
[ECCV 2024]
[Project]
Language-Informed Visual Concept Learning
[ICLR 2024]
[Project]
Key-Locked Rank One Editing for Text-to-Image Personalization
[SIGGRAPH 2023]
[Project]
Diffusion in Style
[ICCV 2023]
[Project]
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization
[CVPR 2024]
[Project]
RealCustom++: Representing Images as Real-Word for Real-Time Customization
[Website]
[Project]
Personalized Residuals for Concept-Driven Text-to-Image Generation
[CVPR 2024]
[Project]
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
[ECCV 2024]
[Project]
Diffusion Self-Distillation for Zero-Shot Customized Image Generation
[Website]
[Project]
Multi-subject Open-set Personalization in Video Generation
[Website]
[Project]
RelationBooth: Towards Relation-Aware Customized Object Generation
[Website]
[Project]
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
[Website]
[Project]
InstructBooth: Instruction-following Personalized Text-to-Image Generation
[Website]
[Project]
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
[Website]
[Project]
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation
[Website]
[Project]
ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation
[Website]
[Project]
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization
[Website]
[Project]
Subject-driven Text-to-Image Generation via Apprenticeship Learning
[Website]
[Project]
Orthogonal Adaptation for Modular Customization of Diffusion Models
[Website]
[Project]
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
[Website]
[Project]
Nested Attention: Semantic-aware Attention Values for Concept Personalization
[Website]
[Project]
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
[Website]
[Project]
SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner
[Website]
[Project]
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models
[Website]
[Project]
[Website]
[Project]
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
[Website]
[Project]
InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
[Website]
[Project]
Total Selfie: Generating Full-Body Selfies
[Website]
[Project]
PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation
[Website]
[Project]
DreamTuner: Single Image is Enough for Subject-Driven Generation
[Website]
[Project]
SerialGen: Personalized Image Generation by First Standardization Then Personalization
[Website]
[Project]
ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning
[Website]
[Project]
PALP: Prompt Aligned Personalization of Text-to-Image Models
[Website]
[Project]
TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion
[CVPR 2024]
[Project]
Visual Style Prompting with Swapping Self-Attention
[Website]
[Project]
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm
[Website]
[Project]
Non-confusing Generation of Customized Concepts in Diffusion Models
[Website]
[Project]
HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation
[Website]
[Project]
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
[NeurIPS 2024]
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image
[ECCV 2024]
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
[CVPR 2024]
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation
[CVPR 2024]
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
[AAAI 2024]
FreeTuner: Any Subject in Any Style with Training-free Diffusion
[Website]
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework
[Website]
InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser
[Website]
DisenBooth: Disentangled Parameter-Efficient Tuning for Subject-Driven Text-to-Image Generation
[Website]
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
[Website]
Gradient-Free Textual Inversion
[Website]
Identity Encoder for Personalized Diffusion
[Website]
Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation
[Website]
ELODIN: Naming Concepts in Embedding Spaces
[Website]
Generate Anything Anywhere in Any Scene
[Website]
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
[Website]
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face
[Website]
MagiCapture: High-Resolution Multi-Concept Portrait Customization
[Website]
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
[Website]
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics
[Website]
An Image is Worth Multiple Words: Multi-attribute Inversion for Constrained Text-to-Image Synthesis
[Website]
Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models
[Website]
Memory-Efficient Personalization using Quantized Diffusion Model
[Website]
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models
[Website]
Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization
[Website]
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding
[Website]
SeFi-IDE: Semantic-Fidelity Identity Embedding for Personalized Diffusion-Based Generation
[Website]
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model
[Website]
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models
[Website]
MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration
[Website]
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation
[Website]
OneActor: Consistent Character Generation via Cluster-Conditioned Guidance
[Website]
StyleMaster: Towards Flexible Stylized Image Generation with Diffusion Models
[Website]
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks
[Website]
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter
[Website]
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
[Website]
AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models
[Website]
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation
[Website]
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control
[Website]
MagicID: Flexible ID Fidelity Generation System
[Website]
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
[Website]
ArtiFade: Learning to Generate High-quality Subject from Blemished Images
[Website]
CustomContrast: A Multilevel Contrastive Perspective For Subject-Driven Text-to-Image Customization
[Website]
Fusion is all you need: Face Fusion for Customized Identity-Preserving Image Synthesis
[Website]
Event-Customized Image Generation
[Website]
LEARNING TO CUSTOMIZE TEXT-TO-IMAGE DIFFUSION IN DIVERSE CONTEXT
[Website]
HYPNOS : Highly Precise Foreground-focused Diffusion Finetuning for Inanimate Objects
[Website]
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
[Website]
Foundation Cures Personalization: Recovering Facial Personalized Models' Prompt Consistency
[Website]
Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects
[Website]
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models
[Website]
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
[Website]
P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision
[Website]
PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation
[Website]
⭐⭐⭐Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
[SIGGRAPH 2023]
[Project]
[Official Code]
[Diffusers Code]
[Diffusers doc]
[Replicate Demo]
SEGA: Instructing Diffusion using Semantic Dimensions
[NeurIPS 2023]
[Website]
[Code]
[Diffusers Code]
[Diffusers Doc]
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
[ICCV 2023]
[Website]
[Project]
[Code Official]
[Diffusers Doc]
[Diffusers Code]
Expressive Text-to-Image Generation with Rich Text
[ICCV 2023]
[Website]
[Project]
[Code]
[Demo]
Editing Implicit Assumptions in Text-to-Image Diffusion Models
[ICCV 2023]
[Website]
[Project]
[Code]
[Demo]
ElasticDiffusion: Training-free Arbitrary Size Image Generation
[CVPR 2024]
[Project]
[Code]
[Demo]
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
[ICCV 2023]
[Website]
[Project]
[Code]
Discriminative Class Tokens for Text-to-Image Diffusion Models
[ICCV 2023]
[Website]
[Project]
[Code]
Compositional Visual Generation with Composable Diffusion Models
[ECCV 2022]
[Website]
[Project]
[Code]
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
[ICCV 2023]
[Project]
[Code]
[Blog]
Diffusion Self-Guidance for Controllable Image Generation
[NeurIPS 2023]
[Website]
[Project]
[Code]
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
[NeurIPS 2023]
[Website]
[Code]
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
[NeurIPS 2023]
[Website]
[Code]
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
[NeurIPS 2023]
[Website]
[Code]
DemoFusion: Democratising High-Resolution Image Generation With No $$$
[CVPR 2024]
[Project]
[Code]
Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
[CVPR 2024]
[Project]
[Code]
Training Diffusion Models with Reinforcement Learning
[ICLR 2024]
[Project]
[Code]
Divide & Bind Your Attention for Improved Generative Semantic Nursing
[BMVC 2023 Oral]
[Project]
[Code]
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
[Website]
[Project]
[Code]
OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction
[Website]
[Project]
[Code]
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
[Website]
[Project]
[Code]
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step
[Website]
[Project]
[Code]
Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation
[Website]
[Project]
[Code]
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
[Website]
[Project]
[Code]
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
[Website]
[Project]
[Code]
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
[Website]
[Project]
[Code]
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
[Website]
[Project]
[Code]
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
[Website]
[Project]
[Code]
Real-World Image Variation by Aligning Diffusion Inversion Chain
[Website]
[Project]
[Code]
FreeU: Free Lunch in Diffusion U-Net
[Website]
[Project]
[Code]
GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis
[Website]
[Project]
[Code]
ConceptLab: Creative Generation using Diffusion Prior Constraints
[Website]
[Project]
[Code]
Aligning Text-to-Image Diffusion Models with Reward Backpropagationn
[Website]
[Project]
[Code]
Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models
[Website]
[Project]
[Code]
VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control
[Website]
[Project]
[Code]
Tiled Diffusion
[Website]
[Project]
[Code]
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
[Website]
[Project]
[Code]
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls
[Website]
[Project]
[Code]
TokenCompose: Grounding Diffusion with Token-level Supervision
[Website]
[Project]
[Code]
DiffusionGPT: LLM-Driven Text-to-Image Generation System
[Website]
[Project]
[Code]
Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support
[Website]
[Project]
[Code]
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations
[Website]
[Project]
[Code]
MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion
[Website]
[Project]
[Code]
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
[Website]
[Project]
[Code]
Stylus: Automatic Adapter Selection for Diffusion Models
[Website]
[Project]
[Code]
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
Negative Token Merging: Image-based Adversarial Feature Guidance
[Website]
[Project]
[Code]
Iterative Object Count Optimization for Text-to-image Diffusion Models
[Website]
[Project]
[Code]
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
[Website]
[Project]
[Code]
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts
[Website]
[Project]
[Code]
Omegance: A Single Parameter for Various Granularities in Diffusion-Based Synthesis
[Website]
[Project]
[Code]
TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation
[Website]
[Project]
[Code]
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models
[ACM MM 2023 Oral]
[Code]
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
[ICLR 2024]
[Code]
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
[NeurIPS 2024]
[Code]
Dynamic Prompt Optimizing for Text-to-Image Generation
[CVPR 2024]
[Code]
Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models
[CVPR 2024]
[Code]
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
[CVPR 2024]
[Code]
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization
[CVPR 2024]
[Code]
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models
[ECCV 2024]
[Code]
On Discrete Prompt Optimization for Diffusion Models
[ICML 2024]
[Code]
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
[NeurIPS 2024]
[Code]
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization
[ACM MM 2024]
[Code]
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
[NeurIPS 2023]
[Code]
Diffusion Model Alignment Using Direct Preference Optimization
[Website]
[Code]
SePPO: Semi-Policy Preference Optimization for Diffusion Alignment
[Website]
[Code]
Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback
[Website]
[Code]
Zigzag Diffusion Sampling: The Path to Success Is Zigzag
[Website]
[Code]
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models
[Website]
[Code]
Progressive Compositionality In Text-to-Image Generative Models
[Website]
[Code]
Improving Long-Text Alignment for Text-to-Image Diffusion Models
[Website]
[Code]
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization
[Website]
[Code]
RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images
[Website]
[Code]
Aggregation of Multi Diffusion Models for Enhancing Learned Representations
[Website]
[Code]
AID: Attention Interpolation of Text-to-Image Diffusion
[Website]
[Code]
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
[Website]
[Code]
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis
[Website]
[Code]
ORES: Open-vocabulary Responsible Visual Synthesis
[Website]
[Code]
Alignment without Over-optimization: Training-Free Solution for Diffusion Models
[Website]
[Code]
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
[Website]
[Code]
Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models
[Website]
[Code]
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
[Website]
[Code]
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
[Website]
[Code]
Detector Guidance for Multi-Object Text-to-Image Generation
[Website]
[Code]
Designing a Better Asymmetric VQGAN for StableDiffusion
[Website]
[Code]
FABRIC: Personalizing Diffusion Models with Iterative Feedback
[Website]
[Code]
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
[Website]
[Code]
Progressive Text-to-Image Diffusion with Soft Latent Direction
[Website]
[Code]
Hypernymy Understanding Evaluation of Text-to-Image Models via WordNet Hierarchy
[Website]
[Code]
TraDiffusion: Trajectory-Based Training-Free Image Generation
[Website]
[Code]
If at First You Don’t Succeed, Try, Try Again:Faithful Diffusion-based Text-to-Image Generation by Selection
[Website]
[Code]
CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models
[Website]
[Code]
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
[Website]
[Code]
A General Framework for Inference-time Scaling and Steering of Diffusion Models
[Website]
[Code]
Making Multimodal Generation Easier: When Diffusion Models Meet LLMs
[Website]
[Code]
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning
[Website]
[Code]
AltDiffusion: A Multilingual Text-to-Image Diffusion Model
[Website]
[Code]
It is all about where you start: Text-to-image generation with seed selection
[Website]
[Code]
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
[Website]
[Code]
ReNeg: Learning Negative Embedding with Reward Guidance
[Website]
[Code]
Correcting Diffusion Generation through Resampling
[Website]
[Code]
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
[Website]
[Code]
Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation
[Website]
[Code]
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis
[Website]
[Code]
PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement
[Website]
[Code]
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
[Website]
[Code]
Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation
[Website]
[Code]
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
[Website]
[Code]
LightIt: Illumination Modeling and Control for Diffusion Models
[CVPR 2024]
[Project]
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
[NeurIPS 2024]
[Project]
Context Canvas: Enhancing Text-to-Image Diffusion Models with Knowledge Graph-Based RAG
[Website]
[Project]
Scalable Ranked Preference Optimization for Text-to-Image Generation
[Website]
[Project]
A Noise is Worth Diffusion Guidance
[Website]
[Project]
LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors
[Website]
[Project]
ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation
[Website]
[Project]
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
[Website]
[Project]
MotiF: Making Text Count in Image Animation with Motion Focal Loss
[Website]
[Project]
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
[Website]
[Project]
UniFL: Improve Stable Diffusion via Unified Feedback Learning
[Website]
[Project]
Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis
[Website]
[Project]
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting
[Website]
[Project]
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
[Website]
[Project]
Semantic Guidance Tuning for Text-To-Image Diffusion Models
[Website]
[Project]
Amazing Combinatorial Creation: Acceptable Swap-Sampling for Text-to-Image Generation
[Website]
[Project]
Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation
[Website]
[Project]
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
[Website]
[Project]
Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
[Website]
[Project]
FineDiffusion: Scaling up Diffusion Models for Fine-grained Image Generation with 10,000 Classes
[Website]
[Project]
Lazy Diffusion Transformer for Interactive Image Editing
[Website]
[Project]
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
[Website]
[Project]
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
[Website]
[Project]
Norm-guided latent space exploration for text-to-image generation
[NeurIPS 2023]
[Website]
Improving Diffusion-Based Image Synthesis with Context Prediction
[NeurIPS 2023]
[Website]
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections
[ECCV 2024]
MultiGen: Zero-shot Image Generation from Multi-modal Prompt
[ECCV 2024]
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
[ICML 2024]
Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation
[NeurIPS 2024]
Generating Compositional Scenes via Text-to-image RGBA Instance Generation
[NeurIPS 2024]
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization
[Website]
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
[Website]
Exposure Diffusion: HDR Image Generation by Consistent LDR denoising
[Website]
Information Theoretic Text-to-Image Alignment
[Website]
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers
[Website]
Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control
[Website]
Aligning Diffusion Models by Optimizing Human Utility
[Website]
Instruct-Imagen: Image Generation with Multi-modal Instruction
[Website]
CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models
[Website]
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask
[Website]
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
[Website]
Text2Layer: Layered Image Generation using Latent Diffusion Model
[Website]
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
[Website]
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
[Website]
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion
[Website]
Improving Compositional Text-to-image Generation with Large Vision-Language Models
[Website]
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else
[Website]
Unseen Image Synthesis with Diffusion Models
[Website]
AnyLens: A Generative Diffusion Model with Any Rendering Lens
[Website]
Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering
[Website]
Text2Street: Controllable Text-to-image Generation for Street Views
[Website]
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
[Website]
Contrastive Prompts Improve Disentanglement in Text-to-Image Diffusion Model
[Website]
Debiasing Text-to-Image Diffusion Models
[Website]
Stochastic Conditional Diffusion Models for Semantic Image Synthesis
[Website]
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
[Website]
Transparent Image Layer Diffusion using Latent Transparency
[Website]
Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
[Website]
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
[Website]
StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models
[Website]
Make Me Happier: Evoking Emotions Through Image Diffusion Models
[Website]
Zippo: Zipping Color and Transparency Distributions into a Single Diffusion Model
[Website]
LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model
[Website]
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation
[Website]
U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models
[Website]
ECNet: Effective Controllable Text-to-Image Diffusion Models
[Website]
TextCraftor: Your Text Encoder Can be Image Quality Controller
[Website]
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding
[Website]
Towards Better Text-to-Image Generation Alignment via Attention Modulation
[Website]
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
[Website]
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance
[Website]
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
[Website]
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models
[Website]
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting
[Website]
Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models
[Website]
SPDiffusion: Semantic Protection Diffusion for Multi-concept Text-to-image Generation
[Website]
Training-Free Sketch-Guided Diffusion with Latent Optimization
[Website]
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
[Website]
Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models
[Website]
Training-free Diffusion Model Alignment with Sampling Demons
[Website]
MinorityPrompt: Text to Minority Image Generation via Prompt Optimization
[Website]
AUTOMATED FILTERING OF HUMAN FEEDBACK DATA FOR ALIGNING TEXT-TO-IMAGE DIFFUSION MODELS
[Website]
Saliency Guided Optimization of Diffusion Latents
[Website]
Preference Optimization with Multi-Sample Comparisons
[Website]
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
[Website]
Redefining in Dictionary: Towards a Enhanced Semantic Understanding of Creative Generation
[Website]
Investigating Conceptual Blending of a Diffusion Model for Improving Nonword-to-Image Generation
[Website]
Improving image synthesis with diffusion-negative sampling
[Website]
Golden Noise for Diffusion Models: A Learning Framework
[Website]
Test-time Conditional Text-to-Image Synthesis Using Diffusion Models
[Website]
Decoupling Training-Free Guided Diffusion by ADMM
[Website]
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps
[Website]
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis
[Website]
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
[Website]
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory
[Website]
CoCoNO: Attention Contrast-and-Complete for Initial Noise Optimization in Text-to-Image Synthesis
[Website]
Reward Incremental Learning in Text-to-Image Generation
[Website]
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
[Website]
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
[Website]
Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models
[Website]
The Silent Prompt: Initial Noise as Implicit Guidance for Goal-Driven Image Generation
[Website]
ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance
[Website]
Visual Lexicon: Rich Image Features in Language Space
[Website]
BudgetFusion: Perceptually-Guided Adaptive Diffusion Models
[Website]
ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction
[Website]
TextMatch: Enhancing Image-Text Consistency Through Multimodal Optimization
[Website]
Personalized Preference Fine-tuning of Diffusion Models
[Website]
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation
[Website]
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
[ICML 2023]
[ICML 2023]
[Website]
[Project]
[Code]
[Diffusers Code]
[Diffusers Doc]
[Replicate Demo]
SceneComposer: Any-Level Semantic Image Synthesis
[CVPR 2023 Highlight]
[Website]
[Project]
[Code]
GLIGEN: Open-Set Grounded Text-to-Image Generation
[CVPR 2023]
[Website]
[Code]
[Demo]
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
[ICLR 2023]
[Website]
[Project]
[Code]
Visual Programming for Text-to-Image Generation and Evaluation
[NeurIPS 2023]
[Website]
[Project]
[Code]
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
[ICLR 2024]
[Website]
[Project]
[Code]
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
[NeurIPS 2024]
[Project]
[Code]
ReCo: Region-Controlled Text-to-Image Generation
[CVPR 2023]
[Website]
[Code]
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
[ICCV 2023]
[Website]
[Code]
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
[ICCV 2023]
[Website]
[Code]
Dense Text-to-Image Generation with Attention Modulation
[ICCV 2023]
[Website]
[Code]
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
[Website]
[Project]
[Code]
[Demo]
[Blog]
StreamMultiDiffusion: Real-Time Interactive Generation with Region-Based Semantic Control
[CVPR 2024]
[Code]
[Project]
MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis
[CVPR 2024]
[Project]
[Code]
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
[Website]
[Project]
[Code]
Training-Free Layout Control with Cross-Attention Guidance
[Website]
[Project]
[Code]
ROICtrl: Boosting Instance Control for Visual Generation
[Website]
[Project]
[Code]
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation
[Website]
[Project]
[Code]
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
[Website]
[Project]
[Code]
Grounded Text-to-Image Synthesis with Attention Refocusing
[Website]
[Project]
[Code]
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
[Website]
[Project]
[Code]
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
[Website]
[Project]
[Code]
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models
[Website]
[Project]
[Code]
R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
[Website]
[Project]
[Code]
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
[Website]
[Project]
[Code]
InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following
[Website]
[Project]
[Code]
InstanceDiffusion: Instance-level Control for Image Generation
[Website]
[Project]
[Code]
3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering
[Website]
[Project]
[Code]
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
[CVPR 2024]
[Code]
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
[CVPR 2024]
[Code]
Masked-Attention Diffusion Guidance for Spatially Controlling Text-to-Image Generation
[Website]
[Code]
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
[Website]
[Code]
Enhancing Object Coherence in Layout-to-Image Synthesis
[Website]
[Code]
Training-free Regional Prompting for Diffusion Transformers
[Website]
[Code]
DivCon: Divide and Conquer for Progressive Text-to-Image Generation
[Website]
[Code]
RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models
[Website]
[Code]
StreamMultiDiffusion: Real-Time Interactive Generation with Region-Based Semantic Control
[Website]
[Code]
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
[Website]
[Code]
Layered Rendering Diffusion Model for Zero-Shot Guided Image Synthesis
[ECCV 2024]
[Project]
ReCorD: Reasoning and Correcting Diffusion for HOI Generation
[ACM MM 2024]
[Project]
Compositional Text-to-Image Generation with Dense Blob Representations
[Website]
[Project]
GroundingBooth: Grounding Text-to-Image Customization
[Website]
[Project]
Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation
[Website]
[Project]
ReGround: Improving Textual and Spatial Grounding at No Cost
[Website]
[Project]
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
[CVPR 2024]
Guided Image Synthesis via Initial Image Editing in Diffusion Model
[ACM MM 2023]
Training-free Composite Scene Generation for Layout-to-Image Synthesis
[ECCV 2024]
LSReGen: Large-Scale Regional Generator via Backward Guidance Framework
[Website]
Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion
[Website]
Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching
[Website]
Boundary Attention Constrained Zero-Shot Layout-To-Image Generation
[Website]
Enhancing Image Layout Control with Loss-Guided Diffusion Models
[Website]
GLoD: Composing Global Contexts and Local Details in Image Generation
[Website]
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
[Website]
Controllable Text-to-Image Generation with GPT-4
[Website]
Localized Text-to-Image Generation for Free via Cross Attention Control
[Website]
Training-Free Location-Aware Text-to-Image Synthesis
[Website]
Composite Diffusion | whole >= \Sigma parts
[Website]
Continuous Layout Editing of Single Images with Diffusion Models
[Website]
Zero-shot spatial layout conditioning for text-to-image diffusion models
[Website]
Obtaining Favorable Layouts for Multiple Object Generation
[Website]
EliGen: Entity-Level Controlled Image Generation with Regional Attention
[Website]
LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis
[Website]
Self-correcting LLM-controlled Diffusion Models
[Website]
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models
[Website]
Spatial-Aware Latent Initialization for Controllable Image Generation
[Website]
Layout-to-Image Generation with Localized Descriptions using ControlNet with Cross-Attention Control
[Website]
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation
[Website]
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
[Website]
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis
[Website]
SpotActor: Training-Free Layout-Controlled Consistent Image Generation
[Website]
IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation
[Website]
Scribble-Guided Diffusion for Training-free Text-to-Image Generation
[Website]
3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image Generation
[Website]
Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement
[Website]
Test-time Controllable Image Generation by Explicit Spatial Constraint Enforcement
[Website]
Grounding Text-To-Image Diffusion Models For Controlled High-Quality Image Generation
[Website]
⭐⭐⭐SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
[ICLR 2022]
[Website]
[Project]
[Code]
⭐⭐⭐DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
[CVPR 2022]
[Website]
[Code]
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
[NeurIPS 2023]
[Website]
[Project]
[Code]
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations
[CVPR 2024]
[Project]
[Code]
Diffusion-based Image Translation using Disentangled Style and Content Representation
[ICLR 2023]
[Website]
[Code]
FlexIT: Towards Flexible Semantic Image Translation
[CVPR 2022]
[Website]
[Code]
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
[ICCV 2023]
[Website]
[Code]
E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
[ICML 2024]
[Project]
[Code]
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
[Website]
[Project]
[Code]
Cross-Image Attention for Zero-Shot Appearance Transfer
[Website]
[Project]
[Code]
FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models
[Website]
[Project]
[Code]
Diffusion Guided Domain Adaptation of Image Generators
[Website]
[Project]
[Code]
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
[Website]
[Project]
[Code]
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models
[Website]
[Project]
[Code]
FilterPrompt: Guiding Image Transfer in Diffusion Models
[Website]
[Project]
[Code]
Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization
[ECCV 2024]
[Code]
One-Shot Structure-Aware Stylized Image Synthesis
[CVPR 2024]
[Code]
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
[CVPR 2023]
[Code]
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
[AAAI 2024]
[Code]
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
[AAAI 2024]
[Code]
ZePo: Zero-Shot Portrait Stylization with Faster Sampling
[ACM MM 2024]
[Code]
DiffuseST: Unleashing the Capability of the Diffusion Model for Style Transfer
[ACM MM Asia 2024]
[Code]
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control
[Website]
[Code]
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
[Website]
[Code]
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis
[Website]
[Code]
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
[Website]
[Code]
GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis
[Website]
[Code]
CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion
[Website]
[Code]
PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering
[Website]
[Code]
One-Step Image Translation with Text-to-Image Models
[Website]
[Code]
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods
[Website]
[Code]
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
[ICCV 2023]
[Website]
ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors
[ACM MM 2023]
High-Fidelity Diffusion-based Image Editing
[AAAI 2024]
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
[ECCV 2024]
Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer
[Website]
UniHDA: Towards Universal Hybrid Domain Adaptation of Image Generators
[Website]
Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation
[Website]
TEXTOC: Text-driven Object-Centric Style Transfer
[Website]
Seed-to-Seed: Image Translation in Diffusion Seed Space
[Website]
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation
[Website]
Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation
[Website]
odise: open-vocabulary panoptic segmentation with text-to-image diffusion modelss
[CVPR 2023 Highlight]
[Project]
[Code]
[Demo]
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
[ICCV 2023]
[Website]
[Project]
[Code]
Text-Image Alignment for Diffusion-Based Perception
[CVPR 2024]
[Website]
[Project]
[Code]
Stochastic Segmentation with Conditional Categorical Diffusion Models
[ICCV 2023]
[Website]
[Code]
DDP: Diffusion Model for Dense Visual Prediction
[ICCV 2023]
[Website]
[Code]
DiffusionDet: Diffusion Model for Object Detection
[ICCV 2023]
[Website]
[Code]
OVTrack: Open-Vocabulary Multiple Object Tracking
[CVPR 2023]
[Website]
[Project]
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
[NeurIPS 2023]
[Website]
[Code]
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
[CVPR 2024]
[Project]
[Code]
Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features
[Website]
[Project]
[Code]
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
[Website]
[Project]
[Code]
InstaGen: Enhancing Object Detection by Training on Synthetic Dataset
[Website]
[Project]
[Code]
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation
[Website]
[Project]
[Code]
SMITE: Segment Me In TimE
[Website]
[Project]
[Code]
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
[NeurIPS 2024]
[Code]
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model
[ECCV 2024]
[Code]
ConsistencyTrack: A Robust Multi-Object Tracker with a Generation Strategy of Consistency Model
[Website]
[Code]
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
[Website]
[Code]
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
[Website]
[Code]
Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion Models
[Website]
[Code]
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label
[Website]
[Code]
Personalize Segment Anything Model with One Shot
[Website]
[Code]
DiffusionTrack: Diffusion Model For Multi-Object Tracking
[Website]
[Code]
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
[Website]
[Code]
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting
[Website]
[Code]
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation
[Website]
[Code]
UniGS: Unified Representation for Image Generation and Segmentation
[Website]
[Code]
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
[Website]
[Code]
MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation
[Website]
[Code]
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
[Website]
[Code]
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
[Website]
[Code]
No Annotations for Object Detection in Art through Stable Diffusion
[Website]
[Code]
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
[ICLR 2024]
[Website]
[Project]
Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
[CVPR 2024]
[Project]
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models
[Website]
[Project]
ReferEverything: Towards Segmenting Everything We Can Speak of in Videos
[Website]
[Project]
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
[Website]
[Project]
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
[ICCV 2023]
[Website]
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
[CVPR 2024]
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
[ECCV 2024]
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
[NeurIPS 2024]
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation
[WACV 2024]
Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis
[ACCV 2024]
A Simple Background Augmentation Method for Object Detection with Diffusion Model
[Website]
Unveiling the Power of Diffusion Features For Personalized Segmentation and Retrieval
[Website]
SLiMe: Segment Like Me
[Website]
ASAM: Boosting Segment Anything Model with Adversarial Tuning
[Website]
Diffusion Features to Bridge Domain Gap for Semantic Segmentation
[Website]
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
[Website]
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery
[Website]
Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
[Website]
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
[Website]
Attention as Annotation: Generating Images and Pseudo-masks for Weakly Supervised Semantic Segmentation with Diffusion
[Website]
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
[Website]
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
[Website]
Patch-based Selection and Refinement for Early Object Detection
[Website]
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models
[Website]
Towards Granularity-adjusted Pixel-level Semantic Annotation
[Website]
Gen2Det: Generate to Detect
[Website]
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors
[Website]
ConsistencyDet: Robust Object Detector with Denoising Paradigm of Consistency Model
[Website]
Diverse Generation while Maintaining Semantic Coordination: A Diffusion-Based Data Augmentation Method for Object Detection
[Website]
Generative Edge Detection with Stable Diffusion
[Website]
DINTR: Tracking via Diffusion-based Interpolation
[Website]
Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking
[Website]
DiffuMask-Editor: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability
[Website]
Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
[Website]
Panoptic Diffusion Models: co-generation of images and segmentation maps
[Website]
⭐⭐⭐Adding Conditional Control to Text-to-Image Diffusion Models
[ICCV 2023 best paper]
[Website]
[Official Code]
[Diffusers Doc]
[Diffusers Code]
⭐⭐T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
[Website]
[Official Code]
[Diffusers Code]
SketchKnitter: Vectorized Sketch Generation with Diffusion Models
[ICLR 2023 Spotlight]
[ICLR 2023 Spotlight]
[Website]
[Code]
Freestyle Layout-to-Image Synthesis
[CVPR 2023 highlight]
[Website]
[Project]
[Code]
Collaborative Diffusion for Multi-Modal Face Generation and Editing
[CVPR 2023]
[Website]
[Project]
[Code]
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
[ICCV 2023]
[Website]
[Project]
[Code]
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
[ICCV 2023]
[Website]
[Code]
Sketch-Guided Text-to-Image Diffusion Models
[SIGGRAPH 2023]
[Project]
[Code]
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
[ICLR 2024]
[Project]
[Code]
IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts
[Website]
[Project]
[Code]
ControlNeXt: Powerful and Efficient Control for Image and Video Generation
[Website]
[Project]
[Code]
Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
[Website]
[Project]
[Code]
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
[Website]
[Project]
[Code]
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis
[Website]
[Project]
[Code]
DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation
[Website]
[Project]
[Code]
A Simple Approach to Unifying Diffusion-based Conditional Generation
[Website]
[Project]
[Code]
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
[Website]
[Project]
[Code]
Late-Constraint Diffusion Guidance for Controllable Image Synthesis
[Website]
[Project]
[Code]
Composer: Creative and controllable image synthesis with composable conditions
[Website]
[Project]
[Code]
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation
[Website]
[Project]
[Code]
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
[Website]
[Project]
[Code]
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
LooseControl: Lifting ControlNet for Generalized Depth Conditioning
[Website]
[Project]
[Code]
X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model
[Website]
[Project]
[Code]
ControlNet-XS: Designing an Efficient and Effective Architecture for Controlling Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet
[Website]
[Project]
[Code]
SCP-Diff: Photo-Realistic Semantic Image Synthesis with Spatial-Categorical Joint Prior
[Website]
[Project]
[Code]
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
[ICLR 2024]
[Code]
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
[CVPR 2024]
[Code]
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
[AAAI 2025]
[Code]
CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
[Website]
[Code]
Universal Guidance for Diffusion Models
[Website]
[Code]
Late-Constraint Diffusion Guidance for Controllable Image Synthesis
[Website]
[Code]
Meta ControlNet: Enhancing Task Adaptation via Meta Learning
[Website]
[Code]
Local Conditional Controlling for Text-to-Image Diffusion Models
[Website]
[Code]
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models
[Website]
[Code]
Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC
[Website]
[Code]
OminiControl: Minimal and Universal Control for Diffusion Transformer
[Website]
[Code]
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
[SIGGRAPH 2023]
[Project]
SpaText: Spatio-Textual Representation for Controllable Image Generation
[CVPR 2023]
[Project]
CCM: Adding Conditional Controls to Text-to-Image Consistency Models
[ICML 2024]
[Project]
Dreamguider: Improved Training free Diffusion-based Conditional Generation
[Website]
[Project]
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
[Website]
[Project]
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation
[Website]
[Project]
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
[Website]
[Project]
FineControlNet: Fine-level Text Control for Image Generation with Spatially Aligned Text Control Injection
[Website]
[Project]
Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D Diffusion-based Editor
[Website]
[Project]
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing
[Website]
[Project]
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models
[Website]
[Project]
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation
[Website]
[Project]
EditAR: Unified Conditional Generation with Autoregressive Models
[Website]
[Project]
Sketch-Guided Scene Image Generation
[Website]
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
[Website]
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation
[Website]
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt
[Website]
Adding 3D Geometry Control to Diffusion Models
[Website]
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
[Website]
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
[Website]
ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet
[Website]
Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons
[Website]
Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt
[Website]
FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation
[Website]
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
[Website]
Label-free Neural Semantic Image Synthesis
[Website]
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
[Website]
Discriminative Diffusion Models as Few-shot Vision and Language Learners
[Website]
[Code]
Few-Shot Diffusion Models
[Website]
[Code]
Few-shot Semantic Image Synthesis with Class Affinity Transfer
[CVPR 2023]
[Website]
DiffAlign : Few-shot learning using diffusion based synthesis and alignment
[Website]
Few-shot Image Generation with Diffusion Models
[Website]
Lafite2: Few-shot Text-to-Image Generation
[Website]
Few-Shot Task Learning through Inverse Generative Modeling
[Website]
Paint by Example: Exemplar-based Image Editing with Diffusion Models
[CVPR 2023]
[Website]
[Code]
[Diffusers Doc]
[Diffusers Code]
GLIDE: Towards photorealistic image generation and editing with text-guided diffusion model
[ICML 2022 Spotlight]
[Website]
[Code]
Blended Diffusion for Text-driven Editing of Natural Images
[CVPR 2022]
[Website]
[Project]
[Code]
Blended Latent Diffusion
[SIGGRAPH 2023]
[Project]
[Code]
CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
[NeurIPS 2024]
[Project]
[Code]
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
[ICCV 2023]
[Website]
[Project]
[Code]
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
[CVPR 2023]
[Website]
[Code]
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
[ICML 2023]
[Website]
[Code]
Coherent and Multi-modality Image Inpainting via Latent Space Optimization
[Website]
[Project]
[Code]
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
[Website]
[Project]
[Code]
[Demo]
Anywhere: A Multi-Agent Framework for Reliable and Diverse Foreground-Conditioned Image Inpainting
[Website]
[Project]
[Code]
AnyDoor: Zero-shot Object-level Image Customization
[Website]
[Project]
[Code]
Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion
[Website]
[Project]
[Code]
A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
[Website]
[Project]
[Code]
Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation
[Website]
[Project]
[Code]
Towards Language-Driven Video Inpainting via Multimodal Large Language Models
[Website]
[Project]
[Code]
Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections
[Website]
[Project]
[Code]
Improving Text-guided Object Inpainting with Semantic Pre-inpainting
[ECCV 2024]
[Code]
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior
[ECCV 2024]
[Code]
360-Degree Panorama Generation from Few Unregistered NFoV Images
[ACM MM 2023]
[Code]
Delving Globally into Texture and Structure for Image Inpainting
[ACM MM 2022]
[Code]
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery
[AAAI 2025]
[Code]
ControlEdit: A MultiModal Local Clothing Image Editing Method
[Website]
[Code]
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
[Website]
[Code]
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image Inpainting
[Website]
[Code]
Attentive Eraser: Unleashing Diffusion Model's Object Removal Potential via Self-Attention Redirection Guidance
[Website]
[Code]
Training-and-prompt-free General Painterly Harmonization Using Image-wise Attention Sharing
[Website]
[Code]
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
[Website]
[Code]
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
[Website]
[Code]
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
[Website]
[Code]
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
[Website]
[Code]
Image Inpainting via Iteratively Decoupled Probabilistic Modeling
[Website]
[Code]
ControlCom: Controllable Image Composition using Diffusion Model
[Website]
[Code]
Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model
[Website]
[Code]
MAGICREMOVER: TUNING-FREE TEXT-GUIDED IMAGE INPAINTING WITH DIFFUSION MODELS
[Website]
[Code]
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
[Website]
[Code]
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion
[Website]
[Code]
Sketch-guided Image Inpainting with Partial Discrete Diffusion Process
[Website]
[Code]
ReMOVE: A Reference-free Metric for Object Erasure
[Website]
[Code]
Modification Takes Courage: Seamless Image Stitching via Reference-Driven Inpainting
[Website]
[Code]
MotionCom: Automatic and Motion-Aware Image Composition with LLM and Video Diffusion Prior
[Website]
[Code]
Yuan: Yielding Unblemished Aesthetics Through A Unified Network for Visual Imperfections Removal in Generated Images
[Website]
[Code]
AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes
[ECCV 2024]
[Project]
Text2Place: Affordance-aware Text Guided Human Placement
[ECCV 2024]
[Project]
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
[CVPR 2024]
[Project]
Matting by Generation
[SIGGRAPH 2024]
[Project]
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
[NeurIPS 2024]
[Project]
Taming Latent Diffusion Model for Neural Radiance Field Inpainting
[Website]
[Project]
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control
[Website]
[Project]
CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models
[Website]
[Project]
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control
[Website]
[Project]
Towards Stable and Faithful Inpainting
[Website]
[Project]
Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
[Website]
[Project]
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
[Website]
[Project]
TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided Optimization
[ACM MM 2024]
Semantically Consistent Video Inpainting with Conditional Diffusion Models
[Website]
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention
[Website]
Outline-Guided Object Inpainting with Diffusion Models
[Website]
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
[Website]
Gradpaint: Gradient-Guided Inpainting with Diffusion Models
[Website]
Infusion: Internal Diffusion for Video Inpainting
[Website]
Rethinking Referring Object Removal
[Website]
Tuning-Free Image Customization with Image and Text Guidance
[Website]
VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model
[Website]
FaithFill: Faithful Inpainting for Object Completion Using a Single Reference Image
[Website]
InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture
[Website]
Thinking Outside the BBox: Unconstrained Generative Object Compositing
[Website]
Content-aware Tile Generation using Exterior Boundary Inpainting
[Website]
AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status
[Website]
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning
[Website]
MagicEraser: Erasing Any Objects via Semantics-Aware Control
[Website]
I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting
[Website]
VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference
[Website]
FreeCond: Free Lunch in the Input Conditions of Text-Guided Inpainting
[Website]
PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control
[Website]
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
[Website]
Advanced Video Inpainting Using Optical Flow-Guided Efficient Diffusion
[Website]
Pinco: Position-induced Consistent Adapter for Diffusion Transformer in Foreground-conditioned Inpainting
[Website]
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting
[Website]
RAD: Region-Aware Diffusion Models for Image Inpainting
[Website]
MObI: Multimodal Object Inpainting Using Diffusion Models
[Website]
DiffuEraser: A Diffusion Model for Video Inpainting
[Website]
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
[CVPR 2023]
[Website]
[Project]
[Code]
Desigen: A Pipeline for Controllable Design Template Generation
[CVPR 2024]
[Project]
[Code]
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
[ICCV 2023]
[Website]
[Code]
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
[ICCV 2023]
[Website]
[Code]
Desigen: A Pipeline for Controllable Design Template Generation
[CVPR 2024]
[Code]
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation
[Website]
[Code]
LayoutDM: Transformer-based Diffusion Model for Layout Generation
[CVPR 2023]
[Website]
Unifying Layout Generation with a Decoupled Diffusion Model
[CVPR 2023]
[Website]
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
[ICML 2023]
[Website]
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
[ICLR 2024]
SLayR: Scene Layout Generation with Rectified Flow
[Website]
CGB-DM: Content and Graphic Balance Layout Generation with Transformer-based Diffusion Model
[Website]
Diffusion-based Document Layout Generation
[Website]
Dolfin: Diffusion Layout Transformers without Autoencoder
[Website]
LayoutFlow: Flow Matching for Layout Generation
[Website]
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
[Website]
⭐⭐TextDiffuser: Diffusion Models as Text Painters
[NeurIPS 2023]
[Website]
[Project]
[Code]
⭐⭐TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering
[ECCV 2024 Oral]
[Project]
[Code]
GlyphControl: Glyph Conditional Control for Visual Text Generation
[NeurIPS 2023]
[Website]
[Code]
DiffUTE: Universal Text Editing Diffusion Model
[NeurIPS 2023]
[Website]
[Code]
Word-As-Image for Semantic Typography
[SIGGRAPH 2023]
[Project]
[Code]
Kinetic Typography Diffusion Model
[ECCV 2024]
[Project]
[Code]
Dynamic Typography: Bringing Text to Life via Video Diffusion Prior
[Website]
[Project]
[Code]
JoyType: A Robust Design for Multilingual Visual Text Creation
[Website]
[Project]
[Code]
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
[Website]
[Project]
[Code]
One-Shot Diffusion Mimicker for Handwritten Text Generation
[ECCV 2024]
[Code]
DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution
[ECCV 2024]
[Code]
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution
[SIGGRAPH Asia 2024]
[Code]
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
[AAAI 2024]
[Code]
FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning
[AAAI 2024]
[Code]
Text Image Inpainting via Global Structure-Guided Diffusion Models
[AAAI 2024]
[Code]
Ambigram generation by a diffusion model
[ICDAR 2023]
[Code]
Scene Text Image Super-resolution based on Text-conditional Diffusion Models
[WACV 2024]
[Code]
Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling
[ECCV 2024]
[Code]
First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending
[ECAI 2024]
[Code]
Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models
[COLING 2025]
[Code]
VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models
[Website]
[Code]
Visual Text Generation in the Wild
[Website]
[Code]
Deciphering Oracle Bone Language with Diffusion Models
[Website]
[Code]
High Fidelity Scene Text Synthesis
[Website]
[Code]
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition
[Website]
[Code]
AnyText: Multilingual Visual Text Generation And Editing
[Website]
[Code]
AnyText2: Visual Text Generation and Editing With Customizable Attributes
[Website]
[Code]
Few-shot Calligraphy Style Learning
[Website]
[Code]
GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models
[Website]
[Code]
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation
[Website]
[Code]
AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model
[Website]
[Project]
UniVG: Towards UNIfied-modal Video Generation
[Website]
[Project]
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation
[Website]
[Project]
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models
[WACV 2024]
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
[Website]
Beyond Flat Text: Dual Self-inherited Guidance for Visual Text Generation
[Website]
AnyTrans: Translate AnyText in the Image with Large Scale Models
[Website]
ARTIST: Improving the Generation of Text-rich Images by Disentanglement
[Website]
Improving Text Generation on Images with Synthetic Captions
[Website]
CustomText: Customized Textual Image Generation using Diffusion Models
[Website]
VecFusion: Vector Font Generation with Diffusion
[Website]
Typographic Text Generation with Off-the-Shelf Diffusion Model
[Website]
Font Style Interpolation with Diffusion Models
[Website]
Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation
[Website]
DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation
[Website]
CLII: Visual-Text Inpainting via Cross-Modal Predictive Interaction
[Website]
Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models
[Website]
Text Image Generation for Low-Resource Languages with Dual Translation Learning
[Website]
Decoupling Layout from Glyph in Online Chinese Handwriting Generation
[Website]
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training
[Website]
TextMaster: Universal Controllable Text Edit
[Website]
Towards Visual Text Design Transfer Across Languages
[Website]
DiffSTR: Controlled Diffusion Models for Scene Text Removal
[Website]
TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images
[Website]
TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models
[Website]
Conditional Text-to-Image Generation with Reference Guidance
[Website]
Type-R: Automatically Retouching Typos for Text-to-Image Generation
[Website]
AMO Sampler: Enhancing Text Rendering with Overshooting
[Website]
FonTS: Text Rendering with Typography and Style Controls
[Website]
CharGen: High Accurate Character-Level Visual Text Generation Model with MultiModal Encoder
[Website]
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
[NeurIPS 2023 spotlight]
[Website]
[Project]
[Code]
Image Super-Resolution via Iterative Refinement
[TPAMI]
[Website]
[Project]
[Code]
DiffIR: Efficient Diffusion Model for Image Restoration
[ICCV 2023]
[Website]
[Code]
Kalman-Inspired Feature Propagation for Video Face Super-Resolution
[ECCV 2024]
[Project]
[Code]
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
[Website]
[Project]
[Code]
MatchDiffusion: Training-free Generation of Match-cuts
[Website]
[Project]
[Code]
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
[Website]
[Project]
[Code]
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
[Website]
[Project]
[Code]
AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
[Website]
[Project]
[Code]
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution
[Website]
[Project]
[Code]
Exploiting Diffusion Prior for Real-World Image Super-Resolution
[Website]
[Project]
[Code]
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
[CVPR 2024]
[Code]
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
[CVPR 2024]
[Code]
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
[NeurIPS 2024]
[Code]
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
[NeurIPS 2024]
[Code]
Iterative Token Evaluation and Refinement for Real-World Super-Resolution
[AAAI 2024]
[Code]
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
[Website]
[Code]
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
[Website]
[Code]
Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution
[Website]
[Code]
Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors
[Website]
[Code]
One Step Diffusion-based Super-Resolution with Time-Aware Distillation
[Website]
[Code]
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
[Website]
[Code]
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
[Website]
[Code]
Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors
[Website]
[Code]
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
[Website]
[Code]
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
[Website]
[Code]
Binarized Diffusion Model for Image Super-Resolution
[Website]
[Code]
Does Diffusion Beat GAN in Image Super Resolution?
[Website]
[Code]
PatchScaler: An Efficient Patch-independent Diffusion Model for Super-Resolution
[Website]
[Code]
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion
[Website]
[Code]
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
[Website]
[Code]
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
[Website]
[Code]
Arbitrary-steps Image Super-resolution via Diffusion Inversion
[Website]
[Code]
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
[Website]
[Code]
DSR-Diff: Depth Map Super-Resolution with Diffusion Model
[Website]
[Code]
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach
[Website]
[Code]
RFSR: Improving ISR Diffusion Models via Reward Feedback Learning
[Website]
[Code]
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution
[Website]
[Code]
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
[Website]
[Code]
Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
[Website]
[Code]
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution
[Website]
[Code]
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution
[Website]
[Code]
DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency
[Website]
[Project]
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models
[ICCV 2023]
[Website]
Text-guided Explorable Image Super-resolution
[CVPR 2024]
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder
[CVPR 2024]
AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution
[CVPR 2024]
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
[AAAI 2024]
Detail-Enhancing Framework for Reference-Based Image Super-Resolution
[Website]
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
[Website]
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
[Website]
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
[Website]
Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning
[Website]
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution
[Website]
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising Model
[Website]
TDDSR: Single-Step Diffusion with Two Discriminators for Super Resolution
[Website]
ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution
[Website]
Image Super-Resolution with Text Prompt Diffusio
[Website]
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution
[Website]
DREAM: Diffusion Rectification and Estimation-Adaptive Models
[Website]
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
[Website]
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
[Website]
CasSR: Activating Image Power for Real-World Image Super-Resolution
[Website]
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
[Website]
Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution
[Website]
ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer
[Website]
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
[Website]
Adversarial Diffusion Compression for Real-World Image Super-Resolution
[Website]
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-Resolution
[Website]
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution
[Website]
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-Resolution
[Website]
CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution
[Website]
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
[ICCV 2023 Oral]
[Website]
[Project]
[Code]
SinFusion: Training Diffusion Models on a Single Image or Video
[ICML 2023]
[Website]
[Project]
[Code]
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
[CVPR 2023]
[Website]
[Project]
[Code]
ZIGMA: A DiT-style Zigzag Mamba Diffusion Model
[ECCV 2024]
[Project]
[Code]
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
[NeurIPS 2022]
[Website]
[Project]
[Code]
GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
[NeurIPS 2023]
[Website]
[Code]
Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
[NeurIPS 2023]
[Website]
[Code]
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
[CVPR 2023]
[Website]
[Code]
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
[CVPR 2023]
[Project]
[Code]
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
[CVPR 2024]
[Project]
[Code]
Video Diffusion Models
[ICLR 2022 workshop]
[Website]
[Code]
[Project]
PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models
[Website]
[Diffusers Doc]
[Project]
[Code]
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation
[ECCV 2024]
[Project]
[Code]
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
[ECCV 2024]
[Project]
[Code]
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design
[Website]
[Project]
[Code]
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
[Website]
[Project]
[Code]
MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling
[Website]
[Project]
[Code]
MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence
[Website]
[Project]
[Code]
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
[Website]
[Project]
[Code]
Video Diffusion Alignment via Reward Gradients
[Website]
[Project]
[Code]
Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion Models
[Website]
[Project]
[Code]
Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models
[Website]
[Project]
[Code]
TVG: A Training-free Transition Video Generation Method with Diffusion Models
[Website]
[Project]
[Code]
VideoRepair: Improving Text-to-Video Generation via Misalignment Evaluation and Localized Refinement
[Website]
[Project]
[Code]
CamI2V: Camera-Controlled Image-to-Video Diffusion Model
[Website]
[Project]
[Code]
Identity-Preserving Text-to-Video Generation by Frequency Decomposition
[Website]
[Project]
[Code]
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
[Website]
[Project]
[Code]
MIMAFace: Face Animation via Motion-Identity Modulated Appearance Feature Learning
[Website]
[Project]
[Code]
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
[Website]
[Project]
[Code]
TransPixar: Advancing Text-to-Video Generation with Transparency
[Website]
[Project]
[Code]
StableAnimator: High-Quality Identity-Preserving Human Image Animation
[Website]
[Project]
[Code]
AnimateAnything: Consistent and Controllable Animation for Video Generation
[Website]
[Project]
[Code]
GameGen-X: Interactive Open-world Game Video Generation
[Website]
[Project]
[Code]
AniDoc: Animation Creation Made Easier
[Website]
[Project]
[Code]
VEnhancer: Generative Space-Time Enhancement for Video Generation
[Website]
[Project]
[Code]
SF-V: Single Forward Video Generation Model
[Website]
[Project]
[Code]
Video Motion Transfer with Diffusion Transformers
[Website]
[Project]
[Code]
SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
[Website]
[Project]
[Code]
Pyramidal Flow Matching for Efficient Video Generative Modeling
[Website]
[Project]
[Code]
AnchorCrafter: Animate CyberAnchors Saling Your Products via Human-Object Interacting Video Generation
[Website]
[Project]
[Code]
Trajectory Attention for Fine-grained Video Motion Control
[Website]
[Project]
[Code]
GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
[Website]
[Project]
[Code]
DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation
[Website]
[Project]
[Code]
CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion
[Website]
[Project]
[Code]
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
[Website]
[Project]
[Code]
MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance
[Website]
[Project]
[Code]
VideoTetris: Towards Compositional Text-to-Video Generation
[Website]
[Project]
[Code]
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
[Website]
[Project]
[Code]
ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video Generation
[Website]
[Project]
[Code]
MotionBooth: Motion-Aware Customized Text-to-Video Generation
[Website]
[Project]
[Code]
Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation
[Website]
[Project]
[Code]
MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model
[Website]
[Project]
[Code]
MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models
[Website]
[Project]
[Code]
MotionCraft: Physics-based Zero-Shot Video Generation
[Website]
[Project]
[Code]
MotionMaster: Training-free Camera Motion Transfer For Video Generation
[Website]
[Project]
[Code]
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
[Website]
[Project]
[Code]
Motion Inversion for Video Customization
[Website]
[Project]
[Code]
MagicAvatar: Multimodal Avatar Generation and Animation
[Website]
[Project]
[Code]
Progressive Autoregressive Video Diffusion Models
[Website]
[Project]
[Code]
TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
[Website]
[Project]
[Code]
Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos
[Website]
[Project]
[Code]
Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
[Website]
[Project]
[Code]
Breathing Life Into Sketches Using Text-to-Video Priors
[Website]
[Project]
[Code]
Latent Video Diffusion Models for High-Fidelity Long Video Generation
[Website]
[Project]
[Code]
Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance
[Website]
[Project]
[Code]
RepVideo: Rethinking Cross-Layer Representation for Video Generation
[Website]
[Project]
[Code]
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising
[Website]
[Project]
[Code]
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models
[Website]
[Project]
[Code]
VideoComposer: Compositional Video Synthesis with Motion Controllability
[Website]
[Project]
[Code]
DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion
[Website]
[Project]
[Code]
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
[Website]
[Project]
[Code]
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
[Website]
[Project]
[Code]
LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation
[Website]
[Project]
[Code]
MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer
[Website]
[Project]
[Code]
LLM-GROUNDED VIDEO DIFFUSION MODELS
[Website]
[Project]
[Code]
FreeNoise: Tuning-Free Longer Video Diffusion Via Noise Rescheduling
[Website]
[Project]
[Code]
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
[Website]
[Project]
[Code]
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
[Website]
[Project]
[Code]
VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning
[Website]
[Project]
[Code]
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
[Website]
[Project]
[Code]
FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline
[Website]
[Project]
[Code]
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
[Website]
[Project]
[Code]
ART⋅V: Auto-Regressive Text-to-Video Generation with Diffusion Models
[Website]
[Project]
[Code]
FlowZero: Zero-Shot Text-to-Video Synthesis with LLM-Driven Dynamic Scene Syntax
[Website]
[Project]
[Code]
VideoBooth: Diffusion-based Video Generation with Image Prompts
[Website]
[Project]
[Code]
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
[Website]
[Project]
[Code]
LivePhoto: Real Image Animation with Text-guided Motion Control
[Website]
[Project]
[Code]
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators
[Website]
[Project]
[Code]
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
[Website]
[Project]
[Code]
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
[Website]
[Project]
[Code]
DreaMoving: A Human Dance Video Generation Framework based on Diffusion Models
[Website]
[Project]
[Code]
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
[Website]
[Project]
[Code]
FreeInit: Bridging Initialization Gap in Video Diffusion Models
[Website]
[Project]
[Code]
Text2AC-Zero: Consistent Synthesis of Animated Characters using 2D Diffusion
[Website]
[Project]
[Code]
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
[Website]
[Project]
[Code]
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
[Website]
[Project]
[Code]
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise
[Website]
[Project]
[Code]
GameFactory: Creating New Games with Generative Interactive Videos
[Website]
[Project]
[Code]
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis
[Website]
[Project]
[Code]
Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions
[Website]
[Project]
[Code]
Latte: Latent Diffusion Transformer for Video Generation
[Website]
[Project]
[Code]
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
[Website]
[Project]
[Code]
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models
[Website]
[Project]
[Code]
Towards A Better Metric for Text-to-Video Generation
[Website]
[Project]
[Code]
Generative Inbetweening through Frame-wise Conditions-Driven Video Generation
[Website]
[Project]
[Code]
HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models
[Website]
[Project]
[Code]
AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning
[Website]
[Project]
[Code]
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
[Website]
[Project]
[Code]
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control
[Website]
[Project]
[Code]
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
[Website]
[Project]
[Code]
ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
[Website]
[Project]
[Code]
Optical-Flow Guided Prompt Optimization for Coherent Video Generation
[Website]
[Project]
[Code]
Large Motion Video Autoencoding with Cross-modal Video VAE
[Website]
[Project]
[Code]
FlexiFilm: Long Video Generation with Flexible Conditions
[Website]
[Project]
[Code]
FIFO-Diffusion: Generating Infinite Videos from Text without Training
[Website]
[Project]
[Code]
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
[Website]
[Project]
[Code]
CV-VAE: A Compatible Video VAE for Latent Generative Video Models
[Website]
[Project]
[Code]
MVOC: a training-free multiple video object composition method with diffusion models
[Website]
[Project]
[Code]
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
[Website]
[Project]
[Code]
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
[Website]
[Project]
[Code]
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
[Website]
[Project]
[Code]
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
[Website]
[Project]
[Code]
Efficient Long Video Tokenization via Coordinated-based Patch Reconstruction
[Website]
[Project]
[Code]
AMG: Avatar Motion Guided Video Generation
[Website]
[Project]
[Code]
DiVE: DiT-based Video Generation with Enhanced Control
[Website]
[Project]
[Code]
MegActor-Σ: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer
[Website]
[Project]
[Code]
X-Dyna: Expressive Dynamic Human Image Animation
[Website]
[Project]
[Code]
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
[ICLR 2023]
[Code]
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer
[AAAI 2025]
[Code]
Open-Sora: Democratizing Efficient Video Production for All
[Website]
[Code]
InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption
[Website]
[Code]
MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models
[Website]
[Code]
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
[Website]
[Code]
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
[ICLR 2024]
[Code]
SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces
[ICLR 2024]
[Code]
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
[Website]
[Code]
Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach
[Website]
[Code]
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation
[Website]
[Code]
Real-Time Video Generation with Pyramid Attention Broadcast
[Website]
[Code]
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
[Website]
[Code]
Diffusion Probabilistic Modeling for Video Generation
[Website]
[Code]
DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
[Website]
[Code]
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
[Website]
[Code]
Autoregressive Video Generation without Vector Quantization
[Website]
[Code]
STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video Prediction
[Website]
[Code]
CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training
[Website]
[Code]
LTX-Video: Realtime Video Latent Diffusion
[Website]
[Code]
Vlogger: Make Your Dream A Vlog
[Website]
[Code]
Magic-Me: Identity-Specific Video Customized Diffusion
[Website]
[Code]
VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
[Website]
[Code]
EchoReel: Enhancing Action Generation of Existing Video Diffusion Models
[Website]
[Code]
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text
[Website]
[Code]
TAVGBench: Benchmarking Text to Audible-Video Generation
[Website]
[Code]
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
[Website]
[Code]
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
[Website]
[Code]
FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animations
[Website]
[Code]
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
[Website]
[Code]
REDUCIO! Generating 1024×1024 Video within 16 Seconds using Extremely Compressed Motion Latents
[Website]
[Code]
GRID: Visual Layout Generation
[Website]
[Code]
MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling
[Website]
[Code]
WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
[Website]
[Code]
HARIVO: Harnessing Text-to-Image Models for Video Generation [ECCV 2024] [Project]
Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners
[CVPR 2024]
[Project]
AtomoVideo: High Fidelity Image-to-Video Generation
[CVPR 2024]
[Project]
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
[ICLR 2024]
[Project]
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
[CVPR 2024]
[Project]
ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model
[ECCV 2024]
[Project]
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
[ECCV 2024]
[Project]
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
[Website]
[Project]
Motion Prompting: Controlling Video Generation with Motion Trajectories
[Website]
[Project]
Mojito: Motion Trajectory and Intensity Control for Video Generation
[Website]
[Project]
OmniCreator: Self-Supervised Unified Generation with Universal Editing
[Website]
[Project]
DiCoDe: Diffusion-Compressed Deep Tokens for Autoregressive Video Generation with Language Models
[Website]
[Project]
VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation
[Website]
[Project]
Scene Co-pilot: Procedural Text to Video Generation with Human in the Loop
[Website]
[Project]
DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
[Website]
[Project]
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity
[Website]
[Project]
Training-free Long Video Generation with Chain of Diffusion Model Experts
[Website]
[Project]
Free2Guide: Gradient-Free Path Integral Control for Enhancing Text-to-Video Generation with Large Vision-Language Model
[Website]
[Project]
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
[Website]
[Project]
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation
[Website]
[Project]
Hierarchical Patch Diffusion Models for High-Resolution Video Generation
[Website]
[Project]
Mimir: Improving Video Diffusion Models for Precise Text Understanding
[Website]
[Project]
From Slow Bidirectional to Fast Causal Video Generators
[Website]
[Project]
ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
[Website]
[Project]
I4VGen: Image as Stepping Stone for Text-to-Video Generation
[Website]
[Project]
Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback
[Website]
[Project]
FrameBridge: Improving Image-to-Video Generation with Bridge Models
[Website]
[Project]
MarDini: Masked Autoregressive Diffusion for Video Generation at Scale
[Website]
[Project]
Boosting Camera Motion Control for Video Diffusion Transformers
[Website]
[Project]
UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation
[Website]
[Project]
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control
[Website]
[Project]
Controllable Longer Image Animation with Diffusion Models
[Website]
[Project]
AniClipart: Clipart Animation with Text-to-Video Priors
[Website]
[Project]
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
[Website]
[Project]
TimeRewind: Rewinding Time with Image-and-Events Video Diffusion
[Website]
[Project]
VideoPoet: A Large Language Model for Zero-Shot Video Generation
[Website]
[Project]
PEEKABOO: Interactive Video Generation via Masked-Diffusion
[Website]
[Project]
Searching Priors Makes Text-to-Video Synthesis Better
[Website]
[Project]
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
[Website]
[Project]
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
[Website]
[Project]
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
[Website]
[Project]
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation
[Website]
[Project]
Imagen Video: High Definition Video Generation with Diffusion Models
[Website]
[Project]
MoVideo: Motion-Aware Video Generation with Diffusion Models
[Website]
[Project]
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training
[Website]
[Project]
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer
[Website]
[Project]
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
[Website]
[Project]
Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning
[Website]
[Project]
VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model
[Website]
[Project]
MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
[Website]
[Project]
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models
[Website]
[Project]
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
[Website]
[Project]
Customizing Motion in Text-to-Video Diffusion Models
[Website]
[Project]
Photorealistic Video Generation with Diffusion Models
[Website]
[Project]
DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control
[Website]
[Project]
VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM
[Website]
[Project]
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
[Website]
[Project]
ActAnywhere: Subject-Aware Video Background Generation
[Website]
[Project]
Lumiere: A Space-Time Diffusion Model for Video Generation
[Website]
[Project]
InstructVideo: Instructing Video Diffusion Models with Human Feedback
[Website]
[Project]
Boximator: Generating Rich and Controllable Motions for Video Synthesis
[Website]
[Project]
Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
[Website]
[Project]
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
[Website]
[Project]
Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation
[Website]
[Project]
Audio-Synchronized Visual Animation
[Website]
[Project]
I2VControl: Disentangled and Unified Video Motion Synthesis Control
[Website]
[Project]
Mind the Time: Temporally-Controlled Multi-Event Video Generation
[Website]
[Project]
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
[Website]
[Project]
S2DM: Sector-Shaped Diffusion Models for Video Generation
[Website]
[Project]
MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models
[Website]
[Project]
AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment
[Website]
[Project]
Disentangling Foreground and Background Motion for Enhanced Realism in Human Video Generation
[Website]
[Project]
Dance Any Beat: Blending Beats with Visuals in Dance Video Generation
[Website]
[Project]
Training-Free Motion-Guided Video Generation with Enhanced Temporal Consistency Using Motion Consistency Loss
[Website]
[Project]
PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control
[Website]
[Project]
Human4DiT: Free-view Human Video Generation with 4D Diffusion Transformer
[Website]
[Project]
Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation
[Website]
[Project]
FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance
[Website]
[Project]
VideoAuteur: Towards Long Narrative Video Generation
[Website]
[Project]
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities
[Website]
[Project]
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention
[Website]
[Project]
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization
[Website]
[Project]
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
[Website]
[Project]
MovieCharacter: A Tuning-Free Framework for Controllable Character Video Synthesis
[Website]
[Project]
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
[Website]
[Project]
Improved Video VAE for Latent Video Diffusion Model
[Website]
[Project]
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
[Website]
[Project]
Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation
[Website]
[Project]
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
[Website]
[Project]
OnlineVPO: Align Video Diffusion Model with Online Video-Centric Preference Optimization
[Website]
[Project]
DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships
[ACM MM 2024 Oral]
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion
[Website]
Four-Plane Factorized Video Autoencoders
[Website]
Grid Diffusion Models for Text-to-Video Generation
[Website]
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
[Website]
GenRec: Unifying Video Generation and Recognition with Diffusion Models
[Website]
Efficient Continuous Video Flow Model for Video Prediction
[Website]
Dual-Stream Diffusion Net for Text-to-Video Generation
[Website]
DisenStudio: Customized Multi-subject Text-to-Video Generation with Disentangled Spatial Control
[Website]
SimDA: Simple Diffusion Adapter for Efficient Video Generation
[Website]
VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
[Website]
Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models
[Website]
ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation
[Website]
LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation
[Website]
Optimal Noise pursuit for Augmenting Text-to-Video Generation
[Website]
Make Pixels Dance: High-Dynamic Video Generation
[Website]
Video-Infinity: Distributed Long Video Generation
[Website]
GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning
[Website]
Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion
[Website]
Decouple Content and Motion for Conditional Image-to-Video Generation
[Website]
X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attention
[Website]
F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis
[Website]
MTVG : Multi-text Video Generation with Text-to-Video Models
[Website]
VideoLCM: Video Latent Consistency Model
[Website]
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
[Website]
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
[Website]
I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models
[Website]
360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model
[Website]
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
[Website]
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation
[Website]
Training-Free Semantic Video Composition via Pre-trained Diffusion Model
[Website]
STIV: Scalable Text and Image Conditioned Video Generation
[Website]
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
[Website]
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models
[Website]
Human Video Translation via Query Warping
[Website]
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation
[Website]
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
[Website]
Context-aware Talking Face Video Generation
[Website]
Pix2Gif: Motion-Guided Diffusion for GIF Generation
[Website]
Intention-driven Ego-to-Exo Video Generation
[Website]
AnimateDiff-Lightning: Cross-Model Diffusion Distillation
[Website]
Frame by Familiar Frame: Understanding Replication in Video Diffusion Models
[Website]
Matten: Video Generation with Mamba-Attention
[Website]
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
[Website]
ReVideo: Remake a Video with Motion and Content Control
[Website]
VividPose: Advancing Stable Video Diffusion for Realistic Human Image Animation
[Website]
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model
[Website]
GVDIFF: Grounded Text-to-Video Generation with Diffusion Models
[Website]
Mobius: An High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task
[Website]
Contrastive Sequential-Diffusion Learning: An approach to Multi-Scene Instructional Video Synthesis
[Website]
Multi-sentence Video Grounding for Long Video Generation
[Website]
Fine-gained Zero-shot Video Sampling
[Website]
Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data
[Website]
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
[Website]
EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation
[Website]
Alignment is All You Need: A Training-free Augmentation Strategy for Pose-guided Video Generation
[Website]
One-Shot Learning Meets Depth Diffusion in Multi-Object Videos
[Website]
Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation
[Website]
S2AG-Vid: Enhancing Multi-Motion Alignment in Video Diffusion Models via Spatial and Syntactic Attention-Based Guidance
[Website]
JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation
[Website]
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning
[Website]
COMUNI: Decomposing Common and Unique Video Signals for Diffusion-based Video Generation
[Website]
Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models
[Website]
BroadWay: Boost Your Text-to-Video Generation Model in a Training-free Way
[Website]
LumiSculpt: A Consistency Lighting Control Network for Video Generation
[Website]
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
[Website]
OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models
[Website]
Teaching Video Diffusion Model with Latent Physical Phenomenon Knowledge
[Website]
SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
[Website]
StereoCrafter-Zero: Zero-Shot Stereo Video Generation with Noisy Restart
[Website]
VIRES: Video Instance Repainting with Sketch and Text Guidance
[Website]
MotionCharacter: Identity-Preserving and Motion Controllable Human Video Generation
[Website]
Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraints
[Website]
Fleximo: Towards Flexible Text-to-Human Motion Video Generation
[Website]
SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing
[Website]
Towards Chunk-Wise Generation for Long Videos
[Website]
Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion Reasoning
[Website]
CPA: Camera-pose-awareness Diffusion Transformer for Video Generation
[Website]
Sketch-Guided Motion Diffusion for Stylized Cinemagraph Synthesis
[Website]
MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation
[Website]
Mobile Video Diffusion
[Website]
TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation
[Website]
Can video generation replace cinematographers? Research on the cinematic language of generated video
[Website]
MotionBridge: Dynamic Video Inbetweening with Flexible Controls
[Website]
Enhancing Multi-Text Long Video Generation Consistency without Tuning: Time-Frequency Analysis, Prompt Alignment, and Theory
[Website]
Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion
[Website]
FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
[ICCV 2023 Oral]
[Website]
[Project]
[Code]
Text2LIVE: Text-Driven Layered Image and Video Editing
[ECCV 2022 Oral]
[Project]
[code]
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
[CVPR 2023]
[Project]
[Code]
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
[ICCV 2023]
[Project]
[Code]
StableVideo: Text-driven Consistency-aware Diffusion Video Editing
[ICCV 2023]
[Website]
[Code]
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
[ECCV 2024]
[Project]
[Code]
StableV2V: Stablizing Shape Consistency in Video-to-Video Editing
[Website]
[Project]
[Code]
Video-P2P: Video Editing with Cross-attention Control
[Website]
[Project]
[Code]
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
[Website]
[Project]
[Code]
MagicEdit: High-Fidelity and Temporally Coherent Video Editing
[Website]
[Project]
[Code]
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
[Website]
[Project]
[Code]
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing
[Website]
[Project]
[Code]
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
[Website]
[Project]
[Code]
MotionDirector: Motion Customization of Text-to-Video Diffusion Models
[Website]
[Project]
[Code]
EVA: Zero-shot Accurate Attributes and Multi-Object Video Editing
[Website]
[Project]
[Code]
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
[Website]
[Project]
[Code]
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
[Website]
[Project]
[Code]
MotionEditor: Editing Video Motion via Content-Aware Diffusion
[Website]
[Project]
[Code]
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
[Website]
[Project]
[Code]
MagicStick: Controllable Video Editing via Control Handle Transformations
[Website]
[Project]
[Code]
VidToMe: Video Token Merging for Zero-Shot Video Editing
[Website]
[Project]
[Code]
VASE: Object-Centric Appearance and Shape Manipulation of Real Videos
[Website]
[Project]
[Code]
Neural Video Fields Editing
[Website]
[Project]
[Code]
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing
[Website]
[Project]
[Code]
MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion
[Website]
[Project]
[Code]
Vid2Vid-zero: Zero-Shot Video Editing Using Off-the-Shelf Image Diffusion Models
[Website]
[Code]
Re-Attentional Controllable Video Diffusion Editing
[Website]
[Code]
DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization
[Website]
[Code]
SST-EM: Advanced Metrics for Evaluating Semantic, Spatial and Temporal Aspects in Video Editing
[Website]
[Code]
LOVECon: Text-driven Training-Free Long Video Editing with ControlNet
[Website]
[Code]
Pix2video: Video Editing Using Image Diffusion
[Website]
[Code]
E-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
[Website]
[Code]
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
[Website]
[Code]
Flow-Guided Diffusion for Video Inpainting
[Website]
[Code]
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models
[Website]
[Code]
Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing
[Website]
[Code]
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing
[Website]
[Code]
Shape-Aware Text-Driven Layered Video Editing
[CVPR 2023]
[Website]
[Project]
VideoDirector: Precise Video Editing via Text-to-Video Models
[Website]
[Project]
NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing
[Website]
[Project]
Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices
[Website]
[Project]
DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing
[Website]
[Project]
I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models
[Website]
[Project]
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
[Website]
[Project]
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing
[Website]
[Project]
DIVE: Taming DINO for Subject-Driven Video Editing
[Website]
[Project]
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
[Website]
[Project]
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
[Website]
[Project]
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
[Website]
[Project]
WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing
[ECCV 2024]
[Project]
MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
[Website]
[Project]
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models
[Website]
[Project]
DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing
[Website]
[Project]
MIVE: New Design and Benchmark for Multi-Instance Video Editing
[Website]
[Project]
VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing
[Website]
[Project]
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency
[ECCV 2024]
Edit Temporal-Consistent Videos with Image Diffusion Model
[Website]
Streaming Video Diffusion: Online Video Editing with Diffusion Models
[Website]
Cut-and-Paste: Subject-Driven Video Editing with Attention Control
[Website]
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation
[Website]
Dreamix: Video Diffusion Models Are General Video Editors
[Website]
Towards Consistent Video Editing with Text-to-Image Diffusion Models
[Website]
EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints
[Website]
CCEdit: Creative and Controllable Video Editing via Diffusion Models
[Website]
Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models
[Website]
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier
[Website]
VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models
[Website]
RealCraft: Attention Control as A Solution for Zero-shot Long Video Editing
[Website]
Object-Centric Diffusion for Efficient Video Editing
[Website]
FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing
[Website]
Video Editing via Factorized Diffusion Distillation
[Website]
MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation
[Website]
EffiVED:Efficient Video Editing via Text-instruction Diffusion Models
[Website]
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
[Website]
GenVideo: One-shot Target-image and Shape Aware Video Editing using T2I Diffusion Models
[Website]
Temporally Consistent Object Editing in Videos using Extended Attention
[Website]
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting
[Website]
FRAG: Frequency Adapting Group for Diffusion Video Editing
[Website]
InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models
[Website]
Text-based Talking Video Editing with Cascaded Conditional Diffusion
[Website]
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion
[Website]
Blended Latent Diffusion under Attention Control for Real-World Video Editing
[Website]
EditBoard: Towards A Comprehensive Evaluation Benchmark for Text-based Video Editing Models
[Website]
DNI: Dilutional Noise Initialization for Diffusion Video Editing
[Website]
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing
[Website]
Replace Anyone in Videos
[Website]
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing
[Website]
DreamColour: Controllable Video Colour Editing without Training
[Website]
MoViE: Mobile Diffusion for Video Editing
[Website]
Edit as You See: Image-guided Video Editing via Masked Motion Modeling
[Website]
IP-FaceDiff: Identity-Preserving Facial Video Editing with Diffusion
[Website]
Qffusion: Controllable Portrait Video Editing via Quadrant-Grid Attention Learning
[Website]
