As described by:

http://research.nvidia.com/sites/default/files/pubs/2017-10_Progressive-Growing-of/karras2018iclr-paper.pdf

Adapted from initial DCGAN code:

https://github.com/carpedm20/DCGAN-tensorflow

Structure of GAN can be varied from 8x8 to 512x512 and onwards. Everything above 8x8 will try to load a model trained on the previous resolution.

python main.py 8
python main.py 16
...
python main.py 512

[========== Original README ==========]

Tensorflow implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks. The referenced torch code can be found here.

• Brandon Amos wrote an excellent blog post and image completion code based on this repo.
• To avoid the fast convergence of D (discriminator) network, G (generator) network is updated twice for each D network update, which differs from original paper.