Comment by argonaut

Worth pointing out the main criticism of GANs, which is that right now researchers don't really have a way to tell if a GAN is just copying and pasting the training data or not (there is no "test set" unlike in supervised learning). And in fact an ideal GAN could just learn to output the training set. One example someone found in the generated images for this model: https://twitter.com/nalkalchbrenner/status/92401333254951321....