Han Liu

@wesbz @liuyoude One problem I found is that the loss of generator is significantly larger than the discriminator, for example: 6199809.67 vs 2.35. This might cause the non-convergence of the...

@wesbz Yeah, I agree with what you said, sorry I rush to the conclusion. I am training the network now, I can see the loss of discriminator and generator are...

@wesbz @liuyoude Here are my loss curves:  Any suggestions on why it didn't converge? The superparameters are the same with paper implementations.

> I found the implementation of generator loss is different from what the original paper says, and after modifying, I push the model for training, but still the generator is...

Same error, did you solve it? @ChaoyuHuang