This paper reviews the first NTIRE challenge on quality enhancement of compressed video,
with focus on proposed solutions and results. In this challenge, the new Large-scale Diverse …

Video restoration concerns the recovery of a clean video sequence starting from its
degraded version. Different video restoration tasks exist, including denoising, deblurring …

A number of deep learning based algorithms have been proposed to recover high-quality
videos from low-quality compressed ones. Among them, some restore the missing details of …

Scene text image super-resolution (STISR) has been regarded as an important pre-
processing task for text recognition from low-resolution scene text images. Most recent …

Abstract Video Compression Artifact Reduction aims to reduce the artifacts caused by video
compression algorithms and improve the quality of compressed video frames. The critical …

Recently, many compression algorithms are applied to decrease the cost of video storage
and transmission. This will introduce undesirable artifacts, which severely degrade visual …

How to use information from temporal, spatial, and frequency domain dimensions is crucial
for the quality enhancement of compressed video. The state-of-the-art methods generally …

This paper introduces a novel dataset for video enhancement and studies the state-of-the-art
methods of the NTIRE 2021 challenge on quality enhancement of compressed video. The …

Low light image enhancement has made great progress owing to powerful deep
representation learning. However, due to the introduction of a large number of parameters …

The increase of video content and video resolution drive more exploration of video
compression techniques recently. Meanwhile, learning-based video compression is …