StyleGAN (v2, which is this, and v1 before it) is spectacularly high quality. Even more interestingly, you can interpolate between faces very smoothly. (For in

StyleGAN (v2, which is this, and v1 before it) is spectacularly high quality. Even more interestingly, you can interpolate between faces very smoothly. (For instance, I was able to give some face off the street a drag makeover, by interpolating that face plus or minus the face of a drag queen minus that performer's face out of drag: https://leebutterman.com/assets/lsb5-plus-trixie-minus-brian.mp4 https://leebutterman.com/assets/lsb5-plus-trixie-minus-brian... ) But it can be tricky to encode faces if they look out of the ordinary, where "ordinary" is the 70k faces on Flickr that trained StyleGAN.