WIPUNet, a U-Net with residual subtraction, sigma maps, SE attention, and learned resampling, beats vanilla U-Net at high Gaussian noise by 0.3 to 1.2 dB.
Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction,
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WIPUNet: A Physics-inspired Network with Weighted Inductive Biases for Image Denoising
WIPUNet, a U-Net with residual subtraction, sigma maps, SE attention, and learned resampling, beats vanilla U-Net at high Gaussian noise by 0.3 to 1.2 dB.