Here are some of the examples that it was able to generate.
It works by using a flat
.png file as input, which is mapped unto a 3D surface
that resembles wrinkles.
This is a pretty clever way to generate training data. You can reliably add/remove wrinkles, change the background, add blur and exchange the underlying receipts too.
Very cool to see Blender still getting some attention from the ML community.