Progressive Growing of GANs for Improved Quality, Stability, Variation [video]
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 <i>ideal</i> GAN could just learn to output the training set. One example  someone found in the generated images for this model: <a href="https://twitter.com/nalkalchbrenner/status/924013332549513217" rel="nofollow">https://twitter.com/nalkalchbrenner/status/92401333254951321...</a>.