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Deep deraining networks consistently encounter substantial generalization issues when deployed in real-world applications, although they are successful in laboratory benchmarks.
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Lei Zhu, Chi-Wing Fu, Dani Lischinski, and Pheng-Ann Heng · 2017
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Density-aware single image de-raining using a multi-stream dense network
He Zhang and Vishal M Patel · 2018
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Interpreting deep visual representations via network dissection
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Lightweight pyramid networks for image deraining
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Blind super-resolution with iterative kernel correction
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Dual residual networks leveraging the potential of paired operations for image restoration
Xing Liu, Masanori Suganuma, Zhun Sun, and Takayuki Okatani · 2019
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Progressive image deraining networks: A better and simpler baseline
Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, and Deyu Meng · 2019
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Erl-net: Entangled representation learning for single image de-raining
Robust representation learning with feedback for single image deraining
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Pre-trained image processing transformer
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Jinjin Gu and Chao Dong · 2021
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Guoqing Wang, Changming Sun, and Arcot Sowmya · 2019
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Spatial attentive single-image deraining with a high quality real rain dataset
Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, and Rynson WH Lau · 2019
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Dtdn: Dual-task de-raining network
Zheng Wang, Jianwu Li, and Ge Song · 2019
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Semi-supervised transfer learning for image rain removal
Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, and Ying Wu · 2019
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A coarse-to-fine multi-stream hybrid deraining network for single image deraining
Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, and Meng Wang · 2019
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Scale-free single image deraining via visibility-enhanced recurrent wavelet learning
Wenhan Yang, Jiaying Liu, Shuai Yang, and Zongming Guo · 2019
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Single image deraining via recurrent hierarchy enhancement network
Youzhao Yang and Hong Lu · 2019
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Improving de-raining generalization via neural reorganization
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Finding discriminative filters for specific degradations in blind super-resolution
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Semi-supervised image deraining using gaussian processes
Rajeev Yasarla, Vishwanath A Sindagi, and Vishal M Patel · 2021
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Structure-preserving deraining with residue channel prior guidance
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Multi-stage progressive image restoration
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Unpaired deep image deraining using dual contrastive learning
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Reflash dropout in image super-resolution
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Blind image super-resolution: A survey and beyond
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Texture-based error analysis for image super-resolution
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Rethinking alignment in video super-resolution transformers
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Cross aggregation transformer for image restoration
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Masked image training for generalizable deep image denoising
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Learning a sparse transformer network for effective image deraining
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Evaluating the generalization ability of super-resolution networks
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Accurate image restoration with attention retractable transformer
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Crafting training degradation distribution for the accuracy-generalization trade-off
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