FuncGenFoil: Airfoil Generation and Editing Model in Function Space

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FuncGenFoil, short for Function-Space Generated Airfoil, is a method for generating airfoils using generative models in function space, such as diffusion models or flow models. This library provides a framework to demonstrate the power of generative models in design and optimization.

Outline

• FuncGenFoil: Airfoil Generation and Editing Model in Function Space
  • Outline
  • Framework
  • Installation
  • Quick Start
  • Citation
  • License

Framework

Demonstration of airfoil generation model training and inference in function space.

Demonstration of airfoil editing model training and inference in function space.

Installation

Please install from source:

git clone https://github.com/zjowowen/FuncGenFoil.git
cd FuncGenFoil
pip install -e .

Quick Start

Here is an example of how to train a airfoil generative flow model in function space.

Download dataset from here and save it in the current directory.

To train the model without conditional information:

python examples/train_unconditional_airfoil_generation.py

To train the model with conditional information:

python examples/train_conditional_airfoil_generation.py

To train the model for airfoil editing:

python examples/train_airfoil_editing.py

To evaluate the model for airfoil generation with super-resolution:

python examples/eval_airfoil_generation_super_resolution.py

Citation

If you find this work useful, please consider citing:

@misc{zhang2025funcgenfoilairfoilgenerationediting,
      title={FuncGenFoil: Airfoil Generation and Editing Model in Function Space}, 
      author={Jinouwen Zhang and Junjie Ren and Aobo Yang and Yan Lu and Lu Chen and Hairun Xie and Jing Wang and Miao Zhang and Wanli Ouyang and Shixiang Tang},
      year={2025},
      eprint={2502.10712},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2502.10712}, 
}

License

FuncGenFoil is licensed under the Apache License 2.0. See LICENSE for more details.