Awesome! I'd love to see someone do this with light field networks: https://www.vincentsitzmann.com/lfns/ https://www.vincentsitzmann.com/lfns/ By the way, in

Awesome! I'd love to see someone do this with light field networks: https://www.vincentsitzmann.com/lfns/ https://www.vincentsitzmann.com/lfns/ By the way, in the plenoxel video they say "the key component is the differentiable volumetric rendering, not the neural network". After watching the fractal community struggle to come up with good distance estimators for years, this makes so much sense. In the end, automatic differentiation came out to be one of the most solid methods for coming up with distance estimators for an arbitrary fractal formula.