2 citations · 10 across the 26 of their papers we have counts for
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cs.CV2022★ 1 cited
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity
Yi Chang, Yun Guo, Yuntong Ye +5
Most of the existing learning-based deraining methods are supervisedly trained on synthetic rainy-clean pairs. The domain gap between the synthetic and real rain makes them less ge…
cs.CV2022★ 2 cited
Unsupervised Image Deraining: Optimization Model Driven Deep CNN
Changfeng Yu, Yi Chang, Yi Li +2
The deep convolutional neural network has achieved significant progress for single image rain streak removal. However, most of the data-driven learning methods are full-supervised…
cs.CV2022
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
Yuntong Ye, Changfeng Yu, Yi Chang +4
Image deraining is a typical low-level image restoration task, which aims at decomposing the rainy image into two distinguishable layers: the clean image layer and the rain layer.…