Dynamic Scene Deblurring
Dynamic Scene Deblurring is a computational imaging method that restores sharpness to motion-blurred images by estimating and inverting the non-uniform blur kernels arising from complex, multi-object motion within a scene.
52
Publications
5.8K
Citations
149
Authors
70
Institutions
Publications per year
2017–2026
40
Parents
52
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks
Jiawei Zhang, Jinshan Pan, Jimmy Ren et al. · 2018 · 404 citations
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections
Hongyun Gao, Xin Tao, Xiaoyong Shen et al. · 2019 · 380 citations
Segmentation-Free Dynamic Scene Deblurring
Tae Hyun Kim, Kyoung Mu Lee · 2014 · 202 citations
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Seoul National University
Seoul, South Korea
7 h-index
16 publications
8.4K citations
Nanjing University of Science and Technology
Nanjing, China
6 h-index
9 publications
475 citations
Group Sense (China)
Hong Kong, China
4 h-index
9 publications
332 citations
University of California, Merced
Merced, United States
4 h-index
4 publications
572 citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
10 publications
575 citations
Tencent (China)
Shenzhen, China
3 h-index
9 publications
2.5K citations

Indian Institute of Technology Madras
Chennai, India
3 h-index
8 publications
1.2K citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
4 publications
184 citations
1–8 of 70
Repository · 5 publications · 102 citations
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5 publications · 337 citations
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TPAMI · 3 publications · 139 citations
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2 publications · 38 citations
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2 publications · 59 citations
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