ptran1203 / pytorch-animeGAN

Pytorch implementation of AnimeGAN for fast photo animation
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Why doesn't the loss change very much after initialization? #25

Open JialeChe opened 3 months ago

JialeChe commented 3 months ago

In training, the loss of the discriminator decreases, but the loss of the generator increases image

ptran1203 commented 3 months ago

It maybe the Discriminator is stronger than Generator, maybe because learning rate of D is twice higher than G. You can adjust learning rate each of them.

Beside of that, you can check if generated images look good or not. It's easier to understand indicator than loss.