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Hi, does anyone know why the BeautyGAN authors choose 6 residual blocks in the generator but not 9 as in CycleGAN because the training images are 256*256?
Hi, does anyone know why the BeautyGAN authors choose 6 residual blocks in the generator but not 9 as in CycleGAN because the training images are 256*256?
I also find that some unofficial implementations based on tensorflow are using 9 blocks. For example, https://github.com/baldFemale/beautyGAN-tf-Implement
It's really weird!
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