Blog(1)
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.
Research Areas(0)
Publications(0)
News(1)
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
Others(0)