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That’s already how Gaussian splats work.

They’re novelty of splattr (though I contest that they’re the first to do so) is that they need fewer images than usual.




I think the novelty is that they don't have to optimise the splats at all, they're directly predicted in a single forward pass.


That’s not really novel either imho, though google search is escaping me on the specific papers I saw at siggraph.

Imho it’s an interesting combination of technologies but not novel in an off itself.


The novelty here is that it does work on uncalibrated images.


A lot of splats systems do work on uncalibrated images so that’s not novel either. They all just do a camera solve, which arguable isn’t terrible for a stereo pair with low divergence.


Not really, it is using Mast3r to determine camera poses.




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