Vision Transformers (ViTs) are becoming more popular and dominating technique for
various vision tasks, compare to Convolutional Neural Networks (CNNs). As a demanding …

This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at
AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of …

Although there have been significant advances in the field of image restoration recently, the
system complexity of the state-of-the-art (SOTA) methods is increasing as well, which may …

In this report we summarize the 2nd NTIRE challenge on light field (LF) image super-
resolution (SR) with a focus on new methods and results. This challenge aims at super …

Video restoration aims at restoring multiple high-quality frames from multiple low-quality
frames. Existing video restoration methods generally fall into two extreme cases, ie, they …

Stereo image super-resolution aims at enhancing the quality of super-resolution results by
utilizing the complementary information provided by binocular systems. To obtain …

In this report, we summarize the first NTIRE challenge on light field (LF) image super-
resolution (SR), which aims at super-resolving LF images under the standard bicubic …

The alignment of adjacent frames is considered an essential operation in video super-
resolution (VSR). Advanced VSR models, including the latest VSR Transformers, are …

Spatial-Temporal Video Super-Resolution (ST-VSR) aims to generate high-quality videos
with higher resolution (HR) and higher frame rate (HFR). Quite intuitively, pioneering two …

Cardiac cine magnetic resonance imaging (MRI) reconstruction is challenging due to spatial
and temporal resolution trade-offs. Temporal correlation in cardiac cine MRI is informative …