Video Super-resolution
Video Super-Resolution is a video processing technique that enhances the spatial resolution of low-resolution video sequences by reconstructing high-resolution detail through spatiotemp指向 temporal consistency and motion coherence, distinguishing it from single-image super-resolution methods by leveraging inter-frame dependencies.
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2017–2026
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EDVR: Video Restoration With Enhanced Deformable Convolutional Networks
Xintao Wang, Kelvin C. K. Chan, Ke Yu et al. · 2019 · 1.2K citations
Super-resolution video microscopy of live cells by structured illumination
Peter Kner, Bryant B. Chhun, Eric R. Griffis et al. · Nature Methods · 2009 · 751 citations
Video Super-Resolution With Convolutional Neural Networks
Armin Kappeler, Seunghwan Yoo, Qiqin Dai et al. · IEEE Transactions on Computational Imaging · 2016 · 672 citations
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Wuhan University
Wuhan, China
18 h-index
81 publications
8.1K citations
Tsinghua University
Beijing, China
14 h-index
36 publications
1.5K citations
University of Science and Technology of China
Hefei, China
14 h-index
45 publications
1.9K citations
Nanyang Technological University
Singapore, Singapore
13 h-index
34 publications
6.3K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
15 publications
923 citations
Tencent (China)
Shenzhen, China
11 h-index
21 publications
1.3K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
10 h-index
16 publications
1.4K citations
Northwestern University
Evanston, United States
10 h-index
25 publications
3.7K citations
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28 publications · 2.6K citations
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24 publications · 1.4K citations
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Repository · 26 publications · 1.4K citations
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Conference · 10 publications · 1.2K citations
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