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I think it’s interesting to explore how different data representations in computer graphics are taking advantage of ever improving GPUs to enable new applications/workflows. The two I know of most are SDFs and Image-based rendering techniques like light fields, primarily as Neural Radiance Fields. Are there any other interesting ones emerging?

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PS4’s Dreams is pretty advanced voxel tech. Quite a bit has been written about how it works.

It uses SDFs as well, in both the voxel representation and in the stored operations that generate it.

I was actually looking for some resources on this but couldn't find much. Do you have any pointers? I saw Alex Evan's excellent talk from 5 years ago [1], which sparked my interest.

[1] https://www.youtube.com/watch?v=u9KNtnCZDMI

Voxels, as evidenced by the recent release Teardown. NERF is pretty amazing but isn't real-time like SDF raymarching. Tetrahedral meshes are interesting as well.

One of the best Siggraph papers from last year was Monte Carlo Geometry Processing http://www.cs.cmu.edu/~kmcrane/Projects/MonteCarloGeometryPr.... It doesn't introduce a new representation, but does introduce a new way to render various representations by sampling them in a unified way

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