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Towards Ground Truth for Single Image Deraining. (arXiv:2206.10779v1 [cs.CV])
Web: http://arxiv.org/abs/2206.10779
June 23, 2022, 1:12 a.m. | Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso de Melo, Suya You, Stefano Soatto, Alex Wong, Achu
cs.CV updates on arXiv.org arxiv.org
We propose a large-scale dataset of real-world rainy and clean image pairs
and a method to remove degradations, induced by rain streaks and rain
accumulation, from the image. As there exists no real-world dataset for
deraining, current state-of-the-art methods rely on synthetic data and thus are
limited by the sim2real domain gap; moreover, rigorous evaluation remains a
challenge due to the absence of a real paired dataset. We fill this gap by
collecting the first real paired deraining dataset through …
More from arxiv.org / cs.CV updates on arXiv.org
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