Avisek Lahiri

@jhoffman Thanks for your reply. I just have a thought: why do you think that it is better to adapt the ultimate last layer which mainly outputs classification logits instead...

Hello @soar200 and @JiahuiYu Thanks for the informative thread. I had some specific doubts regarding the input which is fed to the network. I know ALMOST similar questions have been...

Thanks @carpedm20 for your prompt suggestion.

@ssinha89 Were you able to code this metric? I am also interested to compute this metric.

@yzwxx Thanks for the awesome repo. Can you please suggest as to how you chose the relative weight of KL loss with respect to reconstruction loss. I mean, can you...

@Howie-hxu and @EvgenyZamyatin : I saw that adding Gaussian noise in the discriminator helped in your case. I have few questions : 1. What did you keep as mean and...

Hi. Could you solve this issue? I am facing a similar problem. I tried to train SRRESNET with MSE loss which looked fine but when I tried to initiate SRAGN...

> modified 74 rows "return layers[layer]" in srgan.py Hi. Just confirming. With this fix you 1. First trained SRRESNET with MSE loss and then 2. Trained SRAGN with vgg54 loss...

> My work is that > First trained SRRESNET with VGG22 loss and then trained SRGAN with VGG54 loss,but worsen them for vgg22. Hi. Thanks for the reply. Did you...