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David Svitov
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‎.gitignore

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build/
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diff_bbsplat_rasterization.egg-info/
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dist/
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*.so
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.vscode
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**__pycache__**
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*.pyc

‎.gitmodules

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[submodule "third_party/glm"]
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path = third_party/glm
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url = https://github.com/g-truc/glm.git

‎CMakeLists.txt

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#
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# Copyright (C) 2023, Inria
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# GRAPHDECO research group, https://team.inria.fr/graphdeco
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# All rights reserved.
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#
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# This software is free for non-commercial, research and evaluation use
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# under the terms of the LICENSE.md file.
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#
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# For inquiries contact [email protected]
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#
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cmake_minimum_required(VERSION 3.20)
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project(DiffRast LANGUAGES CUDA CXX)
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set(CMAKE_CXX_STANDARD 17)
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set(CMAKE_CXX_EXTENSIONS OFF)
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set(CMAKE_CUDA_STANDARD 17)
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
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add_library(CudaRasterizer
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cuda_rasterizer/backward.h
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cuda_rasterizer/backward.cu
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cuda_rasterizer/forward.h
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cuda_rasterizer/forward.cu
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cuda_rasterizer/auxiliary.h
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cuda_rasterizer/rasterizer_impl.cu
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cuda_rasterizer/rasterizer_impl.h
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cuda_rasterizer/rasterizer.h
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cuda_rasterizer/utils.h
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)
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set_target_properties(CudaRasterizer PROPERTIES CUDA_ARCHITECTURES "70;75;86")
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target_include_directories(CudaRasterizer PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/cuda_rasterizer)
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target_include_directories(CudaRasterizer PRIVATE third_party/glm ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})

‎LICENSE.md

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Gaussian-Splatting License
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===========================
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**Inria** and **the Max Planck Institut for Informatik (MPII)** hold all the ownership rights on the *Software* named **gaussian-splatting**.
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The *Software* is in the process of being registered with the Agence pour la Protection des
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Programmes (APP).
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The *Software* is still being developed by the *Licensor*.
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*Licensor*'s goal is to allow the research community to use, test and evaluate
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the *Software*.
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## 1. Definitions
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*Licensee* means any person or entity that uses the *Software* and distributes
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its *Work*.
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*Licensor* means the owners of the *Software*, i.e Inria and MPII
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*Software* means the original work of authorship made available under this
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License ie gaussian-splatting.
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*Work* means the *Software* and any additions to or derivative works of the
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*Software* that are made available under this License.
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## 2. Purpose
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This license is intended to define the rights granted to the *Licensee* by
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Licensors under the *Software*.
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## 3. Rights granted
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For the above reasons Licensors have decided to distribute the *Software*.
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Licensors grant non-exclusive rights to use the *Software* for research purposes
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to research users (both academic and industrial), free of charge, without right
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to sublicense.. The *Software* may be used "non-commercially", i.e., for research
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and/or evaluation purposes only.
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Subject to the terms and conditions of this License, you are granted a
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non-exclusive, royalty-free, license to reproduce, prepare derivative works of,
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publicly display, publicly perform and distribute its *Work* and any resulting
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derivative works in any form.
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## 4. Limitations
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**4.1 Redistribution.** You may reproduce or distribute the *Work* only if (a) you do
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so under this License, (b) you include a complete copy of this License with
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your distribution, and (c) you retain without modification any copyright,
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patent, trademark, or attribution notices that are present in the *Work*.
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**4.2 Derivative Works.** You may specify that additional or different terms apply
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to the use, reproduction, and distribution of your derivative works of the *Work*
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("Your Terms") only if (a) Your Terms provide that the use limitation in
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Section 2 applies to your derivative works, and (b) you identify the specific
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derivative works that are subject to Your Terms. Notwithstanding Your Terms,
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this License (including the redistribution requirements in Section 3.1) will
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continue to apply to the *Work* itself.
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**4.3** Any other use without of prior consent of Licensors is prohibited. Research
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users explicitly acknowledge having received from Licensors all information
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allowing to appreciate the adequacy between of the *Software* and their needs and
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to undertake all necessary precautions for its execution and use.
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**4.4** The *Software* is provided both as a compiled library file and as source
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code. In case of using the *Software* for a publication or other results obtained
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through the use of the *Software*, users are strongly encouraged to cite the
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corresponding publications as explained in the documentation of the *Software*.
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## 5. Disclaimer
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THE USER CANNOT USE, EXPLOIT OR DISTRIBUTE THE *SOFTWARE* FOR COMMERCIAL PURPOSES
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WITHOUT PRIOR AND EXPLICIT CONSENT OF LICENSORS. YOU MUST CONTACT INRIA FOR ANY
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UNAUTHORIZED USE: [email protected] . ANY SUCH ACTION WILL
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CONSTITUTE A FORGERY. THIS *SOFTWARE* IS PROVIDED "AS IS" WITHOUT ANY WARRANTIES
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OF ANY NATURE AND ANY EXPRESS OR IMPLIED WARRANTIES, WITH REGARDS TO COMMERCIAL
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USE, PROFESSIONNAL USE, LEGAL OR NOT, OR OTHER, OR COMMERCIALISATION OR
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ADAPTATION. UNLESS EXPLICITLY PROVIDED BY LAW, IN NO EVENT, SHALL INRIA OR THE
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AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
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GOODS OR SERVICES, LOSS OF USE, DATA, OR PROFITS OR BUSINESS INTERRUPTION)
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HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING FROM, OUT OF OR
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IN CONNECTION WITH THE *SOFTWARE* OR THE USE OR OTHER DEALINGS IN THE *SOFTWARE*.

‎README.md

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# Differential BBSplat Rasterization
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This is the rasterization engine for the paper "BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesis". If you can make use of it in your own research, please be so kind to cite us.
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<section class="section" id="BibTeX">
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<div class="container is-max-desktop content">
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<h2 class="title">BibTeX</h2>
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<pre><code>@article{svitov2024billboard,
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title={BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesis},
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author={Svitov, David and Morerio, Pietro and Agapito, Lourdes and Del Bue, Alessio},
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journal={arXiv preprint arXiv:2411.08508},
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year={2024}
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}</code></pre>
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</div>
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</section>
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This implementation is based on the implementation of 3D and 2D Gaussian splatting. Please also consider citing their works.
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<section class="section" id="BibTeX">
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<div class="container is-max-desktop content">
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<h2 class="title">2DGS/3DGS BibTeX</h2>
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<pre><code>@inproceedings{Huang2DGS2024,
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title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
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author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
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publisher = {Association for Computing Machinery},
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booktitle = {SIGGRAPH 2024 Conference Papers},
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year = {2024},
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doi = {10.1145/3641519.3657428}
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}
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@Article{kerbl3Dgaussians,
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author = {Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
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title = {3D Gaussian Splatting for Real-Time Radiance Field Rendering},
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journal = {ACM Transactions on Graphics},
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number = {4},
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volume = {42},
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month = {July},
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year = {2023},
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url = {https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
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}</code></pre>
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</div>
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</section>

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