progressive-gan-pytorch

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Discriminator Loss Formula

1

Thanks for your nice and clean work! When I tried to understand your code, I found that ``` b_size = real_image.size(0) real_image = real_image.to(device) label = label.to(device) real_predict = encoder(...

IcecreamArtist

loss backward 관련 질문

2

안녕하세요, @rosinality 님 공개해주신 코드 덕분에 공부하는데 있어 많은 도움을 받고있습니다 코드 리뷰 중, 이해가 잘 가지 않는 부분이 있어 질문드립니다 train.py [144](https://github.com/rosinality/progressive-gan-pytorch/blob/672f27ef154944284ee6077c856fb98671ae0bea/train.py#L144), [152](https://github.com/rosinality/progressive-gan-pytorch/blob/672f27ef154944284ee6077c856fb98671ae0bea/train.py#L152) line에서 real_predict.backward(Tensor(-1.0)) fake_predict.backward(Tensor(1.0)) backward 뒤에 gradient값이...

hxngiee

Generating new samples using a trained model

1

Hi @rosinality, Thank you for writing this code, and sorry to open an issue on such an old repository, but I was hoping to ask you a question about generating...

m-k-S

adapt the model to 256 resolution

1

Hi, thanks for your efforts! I was wondering where I should change to adapt the current model to a generation for 256 resolution? Appreciate your reply in advance.

KelestZ

trained-model

1

Thank you for grate work !! I would appreciate it if you could open pre-trained model

pacifinapacific

SpectralNorm

6

First of all, thanks for sharing! Very interesting. I see that you experimented with SpectralNorm as well, can you share your insights on the effect it had on the training...

YoelShoshan