MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

Understand

Video super-resolution (VSR) aims to utilize multiple low-resolution frames to generate a high-resolution prediction for each frame.

• In this process, inter- and intra-frames are the key sources for exploiting temporal and spatial information.
• However, there are a couple of limitations for existing VSR methods.
• First, optical flow is often used to establish temporal correspondence.