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NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in lowresolution video frames) with focus on proposed solutions and results. ...
A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. ...
Acknowledgments We thank the NTIRE 2019 sponsors: OPPO Mobile Corp., Ltd., NVIDIA Corp., HUAWEI Technologies Co. Ltd., SAMSUNG Electronics Co., Ltd., Amazon.com, Inc., MediaTek Inc., and ETH Zurich. ...
doi:10.1109/cvprw.2019.00250
dblp:conf/cvpr/NahTGBHMSL19
fatcat:ki2tjqevi5fetinml3tynd7u3m
Gated Fusion Network for Degraded Image Super Resolution
[article]
2020
arXiv
pre-print
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Experiments on these scenarios demonstrate that the proposed method performs more efficiently and favorably against the state-of-the-art approaches on benchmark datasets. ...
Due to the limitations of frame capturing and formation processes, image degradation is inevitable, and the artifacts would be exacerbated by super resolution methods. ...
In: IEEE International Conference on Computer Vision 3 B List of the Evaluated Methods Agustsson E, Timofte R (2017) Ntire 2017 challenge on
single image super-resolution: Dataset and study. ...
arXiv:2003.00893v2
fatcat:wslyimhivzh6pphadcmuxuuzsm
Understanding Deformable Alignment in Video Super-Resolution
[article]
2020
arXiv
pre-print
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video super-resolution. ...
We further demonstrate through experiments that the increased diversity in deformable alignment yields better-aligned features, and hence significantly improves the quality of video super-resolution output ...
NTIRE 2019 Challenge on Video Deblurring
Convolutional Network for Image Super-resolution. In ECCV. and Super-Resolution: Dataset and Study. In CVPRW. ...
arXiv:2009.07265v1
fatcat:pwxa6xza75fqzp34czzg5fqu3q
NTIRE 2020 Challenge on Image and Video Deblurring
[article]
2020
arXiv
pre-print
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Motion blur is one of the most common degradation artifacts in dynamic scene photography. This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. ...
The winning methods demonstrate the state-ofthe-art performance on image and video deblurring tasks. ...
Acknowledgments We thank the NTIRE 2020 sponsors: HUAWEI Technologies Co. Ltd., OPPO Mobile Corp., Ltd., Voyage81, MediaTek Inc., DisneyResearch|Studios, and ETH Zurich (Computer Vision Lab). ...
arXiv:2005.01244v2
fatcat:aoy3tyxlybefrd7yd5ywvr6jh4
Video Super Resolution Based on Deep Learning: A Comprehensive Survey
[article]
2022
arXiv
pre-print
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In this survey, we comprehensively investigate 33 state-of-the-art video super-resolution (VSR) methods based on deep learning. ...
It is well known that the leverage of information within video frames is important for video super-resolution. ...
Zekun Li (Master student at School of Artificial Intelligence in Xidian University) and Dr. ...
arXiv:2007.12928v3
fatcat:nxoejcfdnzas3jznbqsale36ty
Self-Supervised Deep Blind Video Super-Resolution
[article]
2022
arXiv
pre-print
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Existing deep learning-based video super-resolution (SR) methods usually depend on the supervised learning approach, where the training data is usually generated by the blurring operation with known or ...
Experiments show that our method performs favorably against state-of-the-art ones on benchmarks and real-world videos. ...
Lee, “Ntire 2019 challenge on video deblurring and super-
deep video super-resolution,” in Proceedings of IEEE International resolution: Dataset and study,” in Proceedings of IEEE Conference ...
arXiv:2201.07422v1
fatcat:nufcy5tpbjaolnacrfhs7gokl4
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
[article]
2020
arXiv
pre-print
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This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. ...
The track had 280 registered participants, and 19 teams submitted the final results. They gauge the state-of-the-art in single image super-resolution. ...
Acknowledgements We thank the NTIRE 2020 sponsors: HUAWEI, OPPO, Voyage81, MediaTek, DisneyResearch|Studios, and Computer Vision Lab (CVL) ETH Zurich. ...
arXiv:2005.01056v1
fatcat:6nwj5ilbgbgjnmd6oy435hjdhi
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
[article]
2019
arXiv
pre-print
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2018 pre-print arXiv:1809.06420v1 fatcat:vvquobk6e5hjridqjbwb6mr6fq
Capturing ground truth data to benchmark super-resolution (SR) is challenging. ...
Our insights can spur further algorithm development, and the publicy available dataset can foster future evaluations. ...
ACKNOWLEDGMENTS We would like to thank all users of our human subject study for their participation. We also thank the authors of prior works for providing the source codes for our benchmark. ...
arXiv:1809.06420v2
fatcat:sskqa6dbevddhjhghsffnikcoy
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
[article]
2019
arXiv
pre-print
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EDVR also demonstrates superior performance to state-of-the-art published methods on video super-resolution and deblurring. The code is available at https://github.com/xinntao/EDVR. ...
Video restoration tasks, including super-resolution, deblurring, etc, are drawing increasing attention in the computer vision community. ...
This work is supported by SenseTime Group Limited, Joint Lab of CAS-HK, the General Research Fund sponsored by the Research Grants Council of the Hong Kong SAR (CUHK 14241716, 14224316. 14209217), and ...
arXiv:1905.02716v1
fatcat:6bl4zdhvxfhldmfc76ie4gbkoe
Deep Learning for Image Super-resolution: A Survey
[article]
2020
arXiv
pre-print
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Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. ...
This article aims to provide a comprehensive survey on recent advances of image super-resolution using deep learning approaches. ...
Super-resolution Challenges In this section, we will briefly introduce two most popular challenges for image SR, NTIRE [80] and PIRM [47] , [81] . NTIRE Challenge. ...
arXiv:1902.06068v2
fatcat:uequ4heufbcmjojclu2md3xh6m
A Deep Journey into Super-resolution: A survey
[article]
2020
arXiv
pre-print
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In this exposition, we extensively compare 30+ state-of-the-art super-resolution Convolutional Neural Networks (CNNs) over three classical and three recently introduced challenging datasets to benchmark ...
single image super-resolution. ...
Two important challenges are listed below.
NTIRE To benchmark, the single-image super-resolution, NTIRE 1 (New Trends in Image Restoration and Enhancement) [50] challenge was introduced in 2017. ...
arXiv:1904.07523v3
fatcat:ovihxjadfja55hrytvhggj5c6q
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
[article]
2020
arXiv
pre-print
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This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. ...
This is the second challenge on the subject, following AIM 2019, targeting to advance the state-of-the-art in super-resolution. To measure the performance we use the benchmark protocol from AIM 2019. ...
Acknowledgements We thank the NTIRE 2020 sponsors: Huawei, Oppo, Voyage81, MediaTek, DisneyResearch|Studios, and Computer Vision Lab (CVL) ETH Zurich. ...
arXiv:2005.01996v1
fatcat:ewngd7chdve3fbvwis32v64ruq
Flexible Style Image Super-Resolution using Conditional Objective
[article]
2022
arXiv
pre-print
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Recent studies have significantly enhanced the performance of single-image super-resolution (SR) using convolutional neural networks (CNNs). ...
At the inference phase, our trained model can generate locally different outputs conditioned on the style control map. ...
on the Super-Resolution Space Challenge learning track in the NTIRE Challenge 2021 [64, 65] . ...
arXiv:2201.04898v3
fatcat:n7fyjvfsxbcvxp6gvhpdcb5w7e
Blind Image Super-Resolution: A Survey and Beyond
[article]
2021
arXiv
pre-print
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In addition, we make a summary on commonly used datasets and previous competitions related to blind image SR. ...
Blind image super-resolution (SR), aiming to super-resolve low-resolution images with unknown degradation, has attracted increasing attention due to its significance in promoting real-world applications ...
each kind of methods. 1: Details of challenges on blind image super-resolution. ...
arXiv:2107.03055v1
fatcat:65d6fogzyjf2tly4gaacphpju4
Real-World Single Image Super-Resolution: A Brief Review
[article]
2021
arXiv
pre-print
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Besides, we discuss challenges and promising research topics on RSISR. ...
This article aims to make a comprehensive review on real-world single image super-resolution (RSISR). ...
] and image super-resolution (ISR) [28] - [78] . ...
arXiv:2103.02368v1
fatcat:fesf6ercffdxdg7jx3mda6nkri
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