[Lichtso]

The previous approaches learned screen-space-textures for different features and a feature mask to compose them.

Now it seems to actually learn the topology lines of the human face [0], as 3D artists would learn them [1] when they study anatomy. It also uses quad grids and even places the edge loops and poles in similar places.

[0] https://nvlabs-fi-cdn.nvidia.com/_web/alias-free-gan/img/ali... [1] https://i.pinimg.com/originals/6b/9a/0c/6b9a0c2d108b2be75bf7...

[eru]

Yes. It's interesting that imposing what are essentially 2d invariance constraints leads the network to learn what we regard as 3D concepts.

[pvillano]

There are some interesting 2d things our eyes do for 3d. If something is on the ground, half is above the horizon and half is below. Parallax is a 2d phenomenon.