A pytorch implementation of Information Bottleneck GAN
Original paper can be find here: https://openreview.net/forum?id=ryljV2A5KX
- run 'python main.py', for now, please see in the code for variables to adjust different training configurations
-[] add argparser for easier configeration
-[] validate the MSE loss term on z and z_hat, as not directly stated in paper but showed in fig-1
-[] run on celebA dataset and demo qualitative results
@misc{ jeon2019ibgan, title={{IB}-{GAN}: Disentangled Representation Learning with Information Bottleneck {GAN}}, author={Insu Jeon and Wonkwang Lee and Gunhee Kim}, year={2019}, url={https://openreview.net/forum?id=ryljV2A5KX}, }