Closed zxsitu closed 3 years ago
I would also love to see this. Especially top-k training and a parameter to increase network capacity.
@deklesen
I would also love to see this. Especially top-k training and a parameter to increase network capacity.
It already does top-k training explicitly for the generator if you look closely in the training loop you can see it does.
Hello, this GAN you provided is very meaningful for my research as I have a limited set of images (only close to 9,000). I would like to ask if you have the possibility to add your experimental features in StyleGAN2 (https://github.com/lucidrains/stylegan2-pytorch#experimental) to the training of this GAN model? This could enrich my research. Your experimental options in StyleGAN2 are these. 1、Top-k Training for Generator 2、Feature Quantization 3、Contrastive Loss Regularization 4、Relativistic Discriminator Loss