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GAN generates details in its way. I feel like the result with GAN is better but quantitatively worse. I usually consider perceptual loss firstly rather than GAN. Since plausible colors can be different from the ground-truth, how did you evaluate your results?
We also have a skin tone benchmark where we isolate skin to the best that we can (it's within a small range of possibilities within the image) and see how that's performing across major categories.
