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 …

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 …

Face hallucination (FH) techniques have received a lot of attention in recent years for
generating high-resolution (HR) face images from captured low-resolution (LR), noisy, and …

Online processing of compressed videos to increase their resolutions attracts increasing and
broad attention. Video Super-Resolution (VSR) using recurrent neural network architecture …

Recently numerous approaches have achieved notable success in compressed video
quality enhancement (VQE). However these methods usually ignore the utilization of …

A tremendous amount of image and video data are being generated and shared in our daily
lives. Image and video data are typically stored and transmitted in compressed form in order …

While vision-based methods are renowned for their ability in full-field vibration
measurements, accurately and robustly extracting subtle displacements remains a …

Stereoscopic observation is a common foundation of medical image analysis and is
generally achieved by 3D medical imaging based on settled scanners, such as CT and MRI …

This paper addresses the problem for fine-grained video super-resolution (FGVSR) to
suppress temporal flickering caused by separately processed consecutive frames and …

Homography estimation is a fundamental task in computer vision with applications in diverse
fields. Recent advances in deep learning have improved homography estimation …