A parameter-free input-output wrapper exactly parameterizes all normalization-equivariant functions on arbitrary backbones and improves blind denoising robustness to noise mismatch with zero GPU overhead.
Advances in Neural Information Processing Systems , volume =
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Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
A parameter-free input-output wrapper exactly parameterizes all normalization-equivariant functions on arbitrary backbones and improves blind denoising robustness to noise mismatch with zero GPU overhead.