Motion Interpolation
Motion Interpolation is a computational technique within motion estimation that synthesizes intermediate motion states between known temporal samples by predicting motion trajectories through temporal upsampling of motion fields.
284
Publications
14.4K
Citations
742
Authors
276
Institutions
Publications per year
2017–2026
69
284
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang, Deqing Sun, Varan Jampani et al. · 2018 · 853 citations
H.G. Musmann, P. Pirsch, Hans-Joachim Grallert · Proceedings of the IEEE · 1985 · 737 citations
Armin Bruderlin, Lance R. Williams · 1995 · 660 citations
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276
Samsung (South Korea)
Seoul, South Korea
11 h-index
22 publications
969 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
9 h-index
23 publications
547 citations
University of California San Diego
San Diego, United States
8 h-index
16 publications
538 citations
Nanyang Technological University
Singapore, Singapore
7 h-index
11 publications
566 citations

Shanghai Jiao Tong University
Shanghai, China
7 h-index
23 publications
934 citations
University of Pennsylvania
Philadelphia, United States
6 h-index
13 publications
846 citations
Instituto de Telecomunicações
Lisbon, Portugal
6 h-index
17 publications
1.8K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
8 publications
415 citations
1–8 of 276
24 publications · 1.5K citations
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h-index
18 publications · 831 citations
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14 publications · 649 citations
13
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11 publications · 218 citations
11
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5 publications · 250 citations
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