Relativistic f-divergences

Code to replicate all analyses from the paper On Relativistic f-divergences

Discussion at https://ajolicoeur.wordpress.com/relativistic-f-divergences.

This basically the same code as https://github.com/AlexiaJM/RelativisticGAN, but with more options.

Citation

If you find this code useful please cite us in your work.

Paper introducing Relativistic GANs (https://github.com/AlexiaJM/RelativisticGAN):

@article{jolicoeur2018relativistic,
  title={The relativistic discriminator: a key element missing from standard GAN},
  author={Jolicoeur-Martineau, Alexia},
  journal={arXiv preprint arXiv:1807.00734},
  year={2018}
}

Paper providing the mathematical foundations for Relativistic GANs (https://github.com/AlexiaJM/relativistic-f-divergences)

@article{jolicoeur2018rfdiv,
  title={On Relativistic f-Divergences},
  author={Jolicoeur-Martineau, Alexia},
  journal={arXiv preprint arXiv:1901.02474},
  year={2019}
}

To replicate analyses from the paper

Needed

• Python 3.6
• Pytorch (Latest from source)
• Tensorflow (Latest from source, needed to get FID)
• Cat Dataset (http://academictorrents.com/details/c501571c29d16d7f41d159d699d0e7fb37092cbd)

To do beforehand

• Change all folders locations in fid_script.sh, experiments.sh, and GAN.py
• Make sure that there are existing folders at the locations you used
• Open an run each necessary lines of setting_up_script.sh in same folder as preprocess_cat_dataset.py (It will automatically download the cat datasets, if this doesn't work well download it from http://academictorrents.com/details/c501571c29d16d7f41d159d699d0e7fb37092cbd)

To run

• To run models
  • Use GAN.py
• To replicate the paper
  • Open experiments.sh and run the lines you want