Skip to content

aicip/DecoupleGAN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Decoupled-Learning-for-Conditional-Adversarial-Networks

Decoupled Learning for Conditional Adversarial Networks

Pre-requisites

  • Python 2.7x
  • TensorFlow 1.x
  • Matlab
  • pynvml

Adaptation on Pix2Pix

Training

$ cd Adapt_Pix2Pix
$ python main.py

Adaptation on CAAE

Training

$ cd Adapt_CAAE
$ python main.py

NRDS demo

$ cd NRDS
$ python main.py

Plot curves in Matlab:

>> NRDS

Citation

@inproceedings{zhang2018decoupled,
  title={Decoupled learning for conditional adversarial networks},
  author={Zhang, Zhifei and Song, Yang and Qi, Hairong},
  booktitle={2018 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages={700--708},
  year={2018},
  organization={IEEE}
}

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published