  This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality
Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0
dataset, which includes the LDV dataset (240 videos) and 95 additional videos.
This challenge includes three tracks. Track 1 aims at enhancing the videos
compressed by HEVC at a fixed QP. Track 2 and Track 3 target both the
super-resolution and quality enhancement of HEVC compressed video. They require
x2 and x4 super-resolution, respectively. The three tracks totally attract more
than 600 registrations. In the test phase, 8 teams, 8 teams and 12 teams
submitted the final results to Tracks 1, 2 and 3, respectively. The proposed
methods and solutions gauge the state-of-the-art of super-resolution and
quality enhancement of compressed video. The proposed LDV 2.0 dataset is
available at https://github.com/RenYang-home/LDV_dataset. The homepage of this
challenge (including open-sourced codes) is at
https://github.com/RenYang-home/NTIRE22_VEnh_SR.
