/CDE-GAN

Official PyTorch Implementation of CDE-GAN (TEVC'21)

Primary LanguagePythonMIT LicenseMIT

Codes for paper "CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network"

Dependences

  • Linux or macOS, python 3 (<3.9), NVIDIA GPU

Preparing

Please refer to E-GAN codes at (https://github.com/WANG-Chaoyue/EvolutionaryGAN-pytorch).

Training

Run bash ./scripts/cdeegan.sh for training the proposed method.

Testing

Run python test.py for generating test data.

Citation

If this work is helpful for you, please cite our paper.

@article{Chen2021CDEGANCD,
  title={CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network},
  author={Shiming Chen and Wenjie Wang and Beihao Xia and Xinge You and Qinmu Peng and Zehong Cao and Weiping Ding},
  journal={IEEE Transactions on Evolutionary Computation},
  year={2021},
  volume={25},
  pages={986-1000}
}

Acknowledgments

Contact

If you run into any problems with these codes, please submit a bug report on the Github site of the project. For another inquries please contact with me: gchenshiming@gmail.com or shimingchen@hust.edu.cn