Pytorch-Attention-Guided-CycleGAN

Pytorch-Attention-Guided-CycleGAN copied to clipboard

Hi, I believe there is a bug in this [line](https://github.com/alokwhitewolf/Pytorch-Attention-Guided-CycleGAN/blob/afcba3ee4bc4d0dda50f294e8d5dac199e0abe5d/train.py#L190) ```python DisLossB = fakeTargetLoss(disB(genB)) + fakeTargetLoss(disB(genB_)) + 2*realTargetLoss(disA(realB)) ``` in the last term, there should be `disB` instead of `disA`,...

uricamic

Hi, Thank you for this task. If I want to make attention in the background that I need to change rather than the object. For example, in domain A and...

deep0learning

Hi, How can we get test images? Thanks in advanced.

deep0learning

Very clean code, however I have found what I believe are differences between the paper and the code implementation in the model structure. Could you please share why these differences...

Tymyan1

I get this error whenever I try to train the network using "train.py" ``` Traceback (most recent call last): File ".\train.py", line 237, in all() File ".\train.py", line 141, in...

FTC55

I have a problem

1

Thank you for your implementation of Unsupervised Attention-guided Image-to-Image Translation. After learning your code, I found some difference between yours and the description of the original paper. your code: attnMapA...

purpleman-ljl

i wonder a better way to make this kind of attn-base generator convergence could you please share some train tricks while you train this architecture ? : )

imlixinyang