FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation
Shurui Gui, Chaoyue Wang, Qihua Chen, Dacheng Tao
2020年份
27顶会引用
摘要
Overlayed inputs Texture refinement Ground-truth Structure-guided interpolation Overlayed inputs Texture refinement Ground-truth Structure-guided interpolation Figure 1: Examples of the proposed structure-to-texture generation for video interpolation. The whole framework splits the video interpolation task into two stages: structure-guided interpolation and texture refinement. The first row gives a challenging interpolation example of complicated dynamic scenes. The second row is a typical example to explain.
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引用它的顶会 Paper27
- XVFI: eXtreme Video Frame InterpolationHyeonjun Sim, Jihyong Oh, Munchurl KimICCV 2021 · 被引用 207 次
- Asymmetric Bilateral Motion Estimation for Video Frame InterpolationJunheum Park, Chul Lee, Chang-Su KimICCV 2021 · 被引用 186 次
- IFRNet: Intermediate Feature Refine Network for Efficient Frame InterpolationLingtong Kong, Boyuan Jiang, Donghao Luo, Wenqing Chu 等CVPR 2022 · 被引用 166 次
- Optimizing Video Prediction via Video Frame InterpolationYue Wu, Qiang Wen, Qifeng ChenCVPR 2022 · 被引用 47 次
- ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame InterpolationDuolikun Danier, Fan Zhang, David BullCVPR 2022 · 被引用 46 次
它引用的顶会 Paper1
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