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Dynamic VFI (Video Frame Interpolation) with Integrated Difficulty Pre-Assessment
Video frame interpolation (VFI) aims to generate intermediate frames between consecutive frames. VFI is widely applied in industrial products, including slow-motion video generation, video editing, intelligent display devices, etc. Despite recent advances in deep learning bring performance improvement
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Dynamic Video Frame Interpolator with Integrated Difficulty Pre-Assessment
Video frame interpolation (VFI) aims to generate intermediate frames between consecutive frames. It is widely applied in video generation [1] video editing [2], frame rate up-conversion [3], etc. Despite improved accuracy driven by deep learning, VFI models are becoming more and more computationally heavy, making them infeasible for practical applications.
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[CVPR 2023 Series #4] A Unified Pyramid Recurrent Network for Video Frame Interpolation
Video frame interpolation (VFI) is a classic low-level vision task that synthesizes non-existent intermediate frames between original consecutive frames. Before and after frame interpolation, if the time interval of original frames is fixed, VFI can generate high-rate smoother videos; if the frame rate is fixed, VFI can produce slow-motion videos.
