SplatAnything proposes Gaussian Spacing Normalization for 3DGS
GSNorm canonicalizes Gaussian spacing in feed-forward 3DGS for consistent supervision across scenes.
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GSNorm canonicalizes Gaussian spacing in feed-forward 3DGS for consistent supervision across scenes.
Researchers derive an exact law linking learning-rate schedules and weight decay in normalized networks, pinpointing when scale-invariant optimization destabilizes.
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