Cool idea :) 1. They generate a low-resolution position map using NeRF => Good camera and 3D control 2. They then upsample that with StyleGAN2 => Good feature

Cool idea :) 1. They generate a low-resolution position map using NeRF => Good camera and 3D control 2. They then upsample that with StyleGAN2 => Good features in the final 2D image. So in effect, this is a StyleGAN2 network where the latent space has the 3D-related components split off into a different generator network.