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Honestly I’ve found that when evaluating a GAN, nothing beats generating and manually reviewing images at every n steps.
That's what we had to do for NoGAN- find a stopping point based purely on visual inspection. And it was very fine grained- within 100-200 iterations- where you had to look! That was the attempt to "control" it. Makes it extremely hard to make repeatable experiments.
