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aitorzip / PyTorch-SRGAN

A modern PyTorch implementation of SRGAN
https://arxiv.org/abs/1609.04802
GNU General Public License v3.0
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questions about Densenet blocks #3

Closed icoz69 closed 6 years ago

icoz69 commented 7 years ago

hi, thanks for the code. i have a question about the densenet blocks. i noticed each block returns x which is a combination of previous inputs and y,the output of last conv. however, in this way N desenet blocks are actually one big densenet block. should it return y instead?

aitorzip commented 7 years ago

Hi @icoz69,

That is actually right. I didn't take inspiration directly from the original DenseNet paper but from https://arxiv.org/pdf/1611.09326.pdf, which uses a small variant for semantic segmentation. This avoid loosing information from the input, which I thought it may help for the case of Super Resolution too.

icoz69 commented 7 years ago

thanks for your reply. why dont you use the discriminator architecture from the original SRGAN paper?

aitorzip commented 7 years ago

Fun 😁

icoz69 commented 7 years ago

sorry？ 😄

suke27 commented 6 years ago

./train --cuda is it Super resolution for CIFAR-100 , or classification for CIFAR-100