Frame Interpolation

Frame interpolation aims to generate intermediate frames between existing ones in a video sequence, increasing frame rate and improving visual smoothness. Current research focuses on improving accuracy and efficiency, particularly for videos with complex motion, using various approaches including transformer-based models, recurrent networks, and diffusion models, often incorporating optical flow estimation or event-camera data for motion information. These advancements have significant implications for video processing applications, such as enhancing video quality, enabling high-speed video capture with lower resolution sensors, and improving the efficiency of video compression techniques.