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Hello,
currently I am implementing the CycleGAN with the Resnet generator for a medical application, and it yields very good results!
However, what is the purpose of the U-Net generator in the code? Does it work for image translation tasks, and if so, how do I get it to work? I tried it out, and it does not work at all for my case. As far as I know the U-Net is only used for segmentation tasks.
The text was updated successfully, but these errors were encountered:
For my idea, encoder-decoder without skip connection may be more suitable for the style transfer task with unpaired datasets because the texture detail may not be key points in some cases. The U-Net may be great for paired datasets because it can supplement some feature information from different levels in the encoder.
Hello,
currently I am implementing the CycleGAN with the Resnet generator for a medical application, and it yields very good results!
However, what is the purpose of the U-Net generator in the code? Does it work for image translation tasks, and if so, how do I get it to work? I tried it out, and it does not work at all for my case. As far as I know the U-Net is only used for segmentation tasks.
The text was updated successfully, but these errors were encountered: