corte.si

A couple of years ago a paper titled Progressive Growing of GANs for Improved Quality, Stability, and Variation cropped up on my reading list. It describes growing generative adversarial networks progressively, starting with low-resolution images, and then building up more detail as training goes on. It got quite a bit of press at the time because the authors used their idea to generate realistic, unique images of human faces. Looking at these images, it seems like the neural net would have to learn a vast number of things to be able to do what these networks were doing. Some of this seems relatively simple and factual - say, that eye colours should match.