splat VS awesome-3D-gaussian-splatting

I hacked in a weighted stochastic method into a WebGPU solution[0] and it worked surprisingly well. Essentially, given each pixel of a splat, pick a pseudo-random number from zero to one and if it’s lower than the alpha value for the pixel, draw over whatever is in the frame buffer at full opacity.

The next step I wanted to try was to super-sample (eg render at double resolution) and linearly down sample. I imagine this would give a slightly noisy result that I think would be pretty visually pleasing.

0: https://github.com/antimatter15/splat

Something close to what you mention is dynamic scene capture, such as this paper: https://dynamic3dgaussians.github.io/

You can manipulate the splats in viewer, kind of similar to a pointcloud, something to the effect of https://twitter.com/parazar/status/1713618668788109357 but there are a bunch around social media.

This has an entrypoint to the research and various projects so far: https://github.com/MrNeRF/awesome-3D-gaussian-splatting