6 citations · 7 across the 3 of their papers we have counts for
3 papers
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
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.…
eess.IV2021★ 6 cited
Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation
Yuntong Ye, Yi Chang, Hanyu Zhou +1
Existing deep learning-based image deraining methods have achieved promising performance for synthetic rainy images, typically rely on the pairs of sharp images and simulated rainy…