Cartoon-to-Photo Facial Translation with Generative Adversarial Networks(ACML2018)

Architecture of the proposed method(CP-GAN)

The cropping and padding scheme

Requirements

• python 2.7
• pytorch 0.3.0.post4

Testing

Run testing.
```Shell
bash ./scripts/test_single_image.sh

Training

Run training.
```Shell
bash ./scripts/run_train.sh

Citation

If you find CP-GAN useful in your research, please consider to cite the following related papers:

@inproceedings{huang2018cartoon,
  title={Cartoon-to-Photo Facial Translation with Generative Adversarial Networks},
  author={Huang, Junhong and Tan, Mingkui and Yan, Yuguang and Qing, Chunmei and Wu, Qingyao and Yu, Zhuliang},
  booktitle={Asian Conference on Machine Learning},
  pages={566--581},
  year={2018}
}