ECCV2022-RIFE
The project specializes in real-time intermediate flow estimation for enhanced video frame interpolation. It supports high performance with 30+FPS for 720p, suitable for diverse applications, including post-processing for AI-generated videos. Recent versions improve anime scene interpolation based on advanced research. The project received peer review acceptance at ECCV2022. Users benefit from resources for optical flow estimation and video stitching.