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
[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.
Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
Video frame interpolation aims to increase the frame rate of videos, by synthesizing non-existent intermediate frames between original successive frames. With recent advances in optical flow, motion-based interpolation has developed into a promising framework. Estimating the bi-directional motions between input frames is a crucial step for most motion-based interpolation methods.