Neat concept. I wonder if something like that can be applied to diffusion models (the new kid on the block that is outshining GANs right now) - especially since the technique doesn't seem to be too dependent on the generative image implementation.

Also, it's interesting that they're submitting to SIGGRAPH - kind of expected this to be in a more ML-ish conference.