Unsupervised Video Frame Interpolation

Unsupervised Video Frame Interpolation is a technique in the field of computer vision that aims to automatically generate intermediate frames through unsupervised learning methods to increase the frame rate and smoothness of videos. The core objective of this technology is to learn the motion and structural relationships between adjacent frames in a video sequence without relying on labeled data, thereby predicting and synthesizing missing frames. Unsupervised video frame interpolation not only enhances the visual quality of videos but also has broad applications in video processing, film production, real-time streaming transmission, and other areas, improving user experience and content quality.