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Diving Deep into Regions: Exploiting Regional Information Transformer for Single Image Deraining
Feb. 27, 2024, 5:47 a.m. | Baiang Li, Zhao Zhang, Huan Zheng, Xiaogang Xu, Yanyan Wei, Jingyi Zhang, Jicong Fan, Meng Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: Transformer-based Single Image Deraining (SID) methods have achieved remarkable success, primarily attributed to their robust capability in capturing long-range interactions. However, we've noticed that current methods handle rain-affected and unaffected regions concurrently, overlooking the disparities between these areas, resulting in confusion between rain streaks and background parts, and inabilities to obtain effective interactions, ultimately resulting in suboptimal deraining outcomes. To address the above issue, we introduce the Region Transformer (Regformer), a novel SID method that …
abstract arxiv capability cs.cv current image information interactions rain regional robust success transformer type
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