Understanding Deformable Alignment in Video Super-Resolution

Kelvin C.K. Chan - Research Scientist - Google

PDF] Understanding Deformable Alignment in Video Super-Resolution

Publications

CVPR 2023

2105.05640] FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution

南洋理工等提出：理解视频超分辨率中的可变形对齐- 智源社区

Spatio-temporal propagation and reconstruction for low-light video enhancement - ScienceDirect

Understanding Deformable Alignment in Video Super-Resolution

Reference-Based Image and Video Super-Resolution via --Matching

MPCNet: Compressed multi-view video restoration via motion-parallax complementation network - ScienceDirect

MPCNet: Compressed multi-view video restoration via motion-parallax complementation network - ScienceDirect

Reading: EDVR — Enhanced Deformable Convolutional Networks — 1st Place in NTIRE19 video restoration and enhancement challenges (Video Super Resolution), by Sik-Ho Tsang

Video super-resolution based on deep learning: a comprehensive survey

PDF) BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment

Guided Spatio-Temporal Learning Method for 4K Video Super-Resolution