Does your implementation reproduce the original paper results?

RahulBhalley / progressive-growing-of-gans.pytorch

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods

https://arxiv.org/abs/1710.10196

MIT License

50 stars 5 forks source link

Does your implementation reproduce the original paper results? #2

Open Arsey opened 6 years ago

mbbrodie commented 5 years ago

I second @Arsey's question. Can you post example result images on your README page?

RahulBhalley commented 5 years ago

@mbbrodie @Arsey Yeah. I would love to present samples data from PGGAN to README. Actually I am planning to update the code to include the recent Optimal Transport theory-based training improvements. I will try to present the results in nearly 3 to 4 weeks.