pix2pix-tensorflow
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Model architecture
I am interested in the architecture used in this implementation. Does it use a U-Net for the generator and a PatchGAN for the discriminator, as reported in the image-to-image translation paper? By looking at the code, it seems that the model is a DCGAN adapted to 256x256 images.