Skip to content

Conditional Autoencoders with Adversarial Information Factorization

Notifications You must be signed in to change notification settings

pixieDoug/attribute-cVAEGAN

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Conditional Autoencoders with Adversarial Information Factorization

To use code:

  1. Download the celebA dataset from http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
  2. Install dependancies listed in requirements.txt
  3. You will also need pyTorch which may be downloaded from http://pytorch.org
  4. Run the jupyter notebooks to get the data tensors xTrain.npy and yAllTrain.npy and move them in to folder celebA/InData/
  5. The code may be run from cmd line with various options detailed in the code

Example results:

alt text alt text

About

Conditional Autoencoders with Adversarial Information Factorization

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 87.2%
  • Python 12.8%