Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image

CVPR 2020 Yuhui Quan Mingqin Chen Tongyao Pang Hui Ji

In last few years, supervised deep learning has emerged as one powerful tool for image denoising, which trains a denoising network over an external dataset of noisy/clean image pairs. However, the requirement on a high-quality training dataset limits the broad applicability of the denoising networks... (read more)

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