Pure tensorflow implementation of progressive growing of GANs [https://arxiv.org/abs/1710.10196]

Includes :

• Progressive growing of network
• Use of minibatch standard deviation
• Pixelwise feature normalization
• Equalized learning rate
• Drift loss

Tested on private dataset.

See training_walkthrough.ipynb on how to train on your own dataset.