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News/Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
arxiv
PublishedMay 16, 2026 at 4:00 AM
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Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising

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arXiv:2605.08193v2 Announce Type: replace-cross Abstract: Normalization Equivariance (NE) is a structural prior that improves robustness to distribution shift in image-to-image tasks. A function $f$ is normalization equivariant iff $f(a y + b\mathbf{1}) = a f(y) + b\mathbf{1}$ for all $a>0$ and $b\i

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