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Here is a paper if you are interested. https://arxiv.org/pdf/2311.13681.pdf

The key is not to compress but to leverage the property of neural radiance fields and optimize for entropy. I suspect NERF can yield more compact storage since it's volumetric.

Not sure what you mean by "unacceptably low up close". Most GS demos don't have LoD lol.



> Not sure what you mean by "unacceptably low up close". Most GS demos don't have LoD lol.

When the camera gets close the "texture" resolution is extremely low. Like, roughly 1/4 what I would expect. Maybe even 1/8. Aka it's very blurry.




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