Tag: recorrupted

Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise arXiv:2412.04648v1 Announce Type: cross Abstract: Recorrupted-to-Recorrupted (R2R) has emerged as a methodology for training deep networks for image restoration in a self-supervised manner from noisy measurement data alone, demonstrating equivalence in expectation to the supervised squared loss in the case of Gaussian noise. However, its effectiveness with non-Gaussian…