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It seems that the original code uses nn.ReflectionPad2d while in this version the author directly uses Zero Padding, you can change to reflection padding to see whether it is better.
Another way is to train on small patches, since the network is composed of all convolutional layers, you can test it with larger patches. Learning on small patches, means the network has to pay more attention on learning how to handle the border. This might be helpful to alleviate the artifacts.
Hi,
I am getting a lot of artifacts when i am applying the code to train and test on face images.
@mrzhu-cool Any suggestions on how to avoid them ??
Thanks in advance
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