In progress Pytorch implementation of the paper Information bottleneck through variational glasses.
python train_ibn_dcgan.py --epochs=150 --dataset-name=CelebA --g-learning-rate=2e-4 --eg-learning-rate=2e-4
--d-learning-rate=2e-4
--data-dir= /path/to/noncropped/CelebA/
CelebA generation after 12 epochs: