Code for our CVPR 2020 oral paper "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer".

Contributed by Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan

• more results
• video demos
• partial makeup transfer example
• interpolated makeup transfer example
• inference on GPU
• training code

The code was tested on Ubuntu 16.04, with Python 3.6 and PyTorch 1.0.

1. modify the image files for makeup transfer in makeup/main.py (optional)
2. run makeup/main.py

Please consider citing this project in your publications if it helps your research. The following is a BibTeX reference. The BibTeX entry requires the url LaTeX package.

@inproceedings{jiang2019psgan,
  title={PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer},
  author={Jiang, Wentao and Liu, Si and Gao, Chen and Cao, Jie and He, Ran and Feng, Jiashi and Yan, Shuicheng},
  booktitle={CVPR},
  year={2020}
}

Some of the codes are built upon face-parsing.PyTorch and BeautyGAN.