Real-world single image super-resolution: A brief review

H Chen, X He, L Qing, Y Wu, C Ren, RE Sheriff, C Zhu - Information Fusion, 2022 - Elsevier
Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR)
image from a low-resolution (LR) observation, has been an active research topic in the area …

[PDF][PDF] A comprehensive review of deep learning-based single image super-resolution

SMA Bashir, Y Wang, M Khan, Y Niu - PeerJ Computer Science, 2021 - peerj.com
Image super-resolution (SR) is one of the vital image processing methods that improve the
resolution of an image in the field of computer vision. In the last two decades, significant …

Recurrent video restoration transformer with guided deformable attention

J Liang, Y Fan, X Xiang, R Ranjan… - Advances in …, 2022 - proceedings.neurips.cc
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 …

Rethinking alignment in video super-resolution transformers

S Shi, J Gu, L Xie, X Wang, Y Yang… - Advances in Neural …, 2022 - proceedings.neurips.cc
The alignment of adjacent frames is considered an essential operation in video super-
resolution (VSR). Advanced VSR models, including the latest VSR Transformers, are …

Rstt: Real-time spatial temporal transformer for space-time video super-resolution

Z Geng, L Liang, T Ding… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Abstract Space-time video super-resolution (STVSR) is the task of interpolating videos with
both Low Frame Rate (LFR) and Low Resolution (LR) to produce High-Frame-Rate (HFR) …

A review of image super-resolution approaches based on deep learning and applications in remote sensing

X Wang, J Yi, J Guo, Y Song, J Lyu, J Xu, W Yan… - Remote Sensing, 2022 - mdpi.com
At present, with the advance of satellite image processing technology, remote sensing
images are becoming more widely used in real scenes. However, due to the limitations of …

Deep learning-based face super-resolution: A survey

J Jiang, C Wang, X Liu, J Ma - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Face super-resolution (FSR), also known as face hallucination, which is aimed at enhancing
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …

A transcoding-enabled 360 VR video caching and delivery framework for edge-enhanced next-generation wireless networks

H Xiao, C Xu, Z Feng, R Ding, S Yang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Virtual reality (VR) content, including 360° panoramic video, provides users with an
immersive multimedia experience and therefore attracts increasing research and …

A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction

C Wang, X Lv, M Shao, Y Qian, Y Zhang - Information Sciences, 2023 - Elsevier
The clarity of medical images is crucial for doctors to identify and diagnose different
diseases. High-resolution images have more detailed information and clearer content than …

Learning spatial-temporal implicit neural representations for event-guided video super-resolution

Y Lu, Z Wang, M Liu, H Wang… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Event cameras sense the intensity changes asynchronously and produce event streams with
high dynamic range and low latency. This has inspired research endeavors utilizing events …