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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?
So we have two metrics: FID (super slow) and another one that's very fast that isn't quite as good but gives us fast feedback across resolutions to let us know how good the generalization on that is. Unfortunately neither of these are 100%, so visual inspection is a must. Lots.
What's FID?
Frechet Inception Distance?
Yes, I heard about FID. Evaluating the skin tone seems good. I usually pay attention to the skin rather than others. Things related to humans are sensitive. Thank you for the useful information.
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