Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising
arXiv:2603.25869v1 Announce Type: cross
Abstract: Self-supervised image denoising methods have traditionally relied on either architectural constraints or specialized loss functions that require prior knowledge of the noise distribution to avoid the t…