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Well we know it's a gaussian splat, we know what the inputs are (RGB and 6dof pose) and we know how gaussian splat training is usually done...


Sure, in production envs I have seen humans being used in 3 places: 1. the pose data calibration 2. cleaning up covariances (reducing blobbiness) 3. adding metadata for app usage But, to your point, hard to say which of these or any apply without more info. I would be very very impressed if there were no humans and it's 'just' a training time issue though!




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