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No, what you're describing is NeRF, the predecessor technology.

The output of Gaussian Splat "training" is a set of 3d gaussians, which can be rendered very quickly. No ML involved at all (only optimisation)!

They usually require running COLMAP first (to get the relative location of camera between different images), but NVIDIA's InstantSplat doesn't (it however does use a ML model instead!)



Nit: splats are significantly older than NeRFs. They just had a resurgence after nerfs.

We’ve been using pretty similar technology for decades in areas like Renderman radiance caches before RIS.




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