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.
Is it? So far it seems like the storage size is massive and the detail is unacceptably low up close.
Is there a demo that will make me go “holy crap I can’t believe how well this scene compressed”?