Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
img
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.md

FCSR-GAN

This is the source code for paper

"FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning"

Experiment result

Environment requirest

This code is based on Pytorch 0.4.1 and CUDA 8.0.

Pre-processing

All the faces are processed using the SeetaFace Engineer and GFC.

Dataset

We use the standard train&test split of the CelebA dataset.

License

This project is released under the Apache 2.0 license.

Citation

If you find this work useful, please cite our papers with the following bibtex:

@article{FCSRGAN_TBIOM,
  title   = {{FCSR-GAN}: Joint Face Completion and Super-resolution via Multi-task Learning},
  author  = {Jiancheng, Cai and Hu, Han and Shiguang, Shan and Xilin, chen},
  journal= {IEEE Transactions on Biometrics, Behavior, and Identity Science},
  year={2019}
}

@article{FCSRGAN_FG,
  title   = {{FCSR-GAN}: End-to-end Learning for Joint Face Completion and Super-resolution},
  author  = {Jiancheng, Cai and Hu, Han and Shiguang, Shan and Xilin, chen},
  title = {FCSR-GAN: End-to-end learning for joint face completion and super-resolution},
  booktitle = {Proc. IEEE FG},
  pages = {1--8}, 
  year = 2019
}

About

No description, website, or topics provided.

Resources

License

Releases

No releases published

Packages

No packages published

Languages

You can’t perform that action at this time.