FSRNet

[Paper] [Demo] [Slides] [Poster]

Citation

If you find FSRNet useful in your research, please consider citing (* indicates equal contributions):

@inproceedings{CT-FSRNet-2018,
  title={FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors},
  author={Chen, Yu* and Tai, Ying* and Liu, Xiaoming and Shen, Chunhua and Yang, Jian },
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2018}
}

Setup

Clone the github repository:

git  clone https://github.com/tyshiwo/FSRNet.git
cd FSRNet

Usage

For dataset CelebA:

sh test_CelebA_8x.sh 

For dataset Helen:

sh test_Helen_8x.sh 

More Qualitative results