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NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
[article]
2020
arXiv
pre-print
Preserved Fulltext
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
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
[article]
2020
arXiv
pre-print
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This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. ...
In contrast to single image super-resolution (SISR), VSR can benefit from additional information in the temporal domain. ...
Acknowledgements We thank the AIM 2020 sponsors: Huawei, MediaTek, NVIDIA, Qualcomm, Google, and Computer Vision Lab (CVL), ETH Zurich. ...
arXiv:2009.06290v1
fatcat:bbgfzmwupfgcnigwr2onun4zzm
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
[article]
2020
arXiv
pre-print
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This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. ...
The track had 150 registered participants, and 25 teams submitted the final results. They gauge the state-of-the-art in efficient single image super-resolution. ...
Acknowledgements We thank the AIM 2020 sponsors: HUAWEI, MediaTek, Google, NVIDIA, Qualcomm, and Computer Vision Lab (CVL) ETH Zurich.
A Teams and affiliations ...
arXiv:2009.06943v1
fatcat:2s7k5wsgsjgo5flnqaby26cn64
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
Super-resolution Ultrasound Imaging
2020
Ultrasound in Medicine and Biology
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Super-resolution ultrasound has also been performed through signal fluctuations with the same type of contrast agents, or through switching on and off nano-sized phase-change contrast agents. ...
These techniques are now being applied pre-clinically and clinically for imaging of the microvasculature of the brain, kidney, skin, tumors and lymph nodes. ...
The implementation of super-resolution methods on such a system could create a powerful tool for imaging stroke. ...
doi:10.1016/j.ultrasmedbio.2019.11.013
pmid:31973952
fatcat:gt6l3av375e4dg7tebmcckcqdm
AIM 2019 Challenge on Image Demoireing: Methods and Results
[article]
2019
arXiv
pre-print
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This paper describes the challenge, and focuses on the proposed solutions and their results. ...
This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. ...
Acknowledgments We thank the AIM 2019 sponsors.
A. Teams and affiliations ...
arXiv:1911.03461v1
fatcat:q5tgvkbp4fgatiucnybsb7u6de
AIM 2020 Challenge on Video Temporal Super-Resolution
[article]
2020
arXiv
pre-print
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This paper reports the second AIM challenge on Video Temporal Super-Resolution (VTSR), a.k.a. frame interpolation, with a focus on the proposed solutions, results, and analysis. ...
The winning team proposes the enhanced quadratic video interpolation method and achieves state-of-the-art on the VTSR task. ...
Acknowledgments We thank all AIM 2020 sponsors: Huawei Technologies Co. Ltd., MediaTek Inc., NVIDIA Corp., Qualcomm Inc., Google, LLC and CVL, ETH Zürich. ...
arXiv:2009.12987v1
fatcat:23cngd3i25bupb5lwszpzxthte
Adaptive Densely Connected Super-Resolution Reconstruction
[article]
2019
arXiv
pre-print
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For a better performance in single image super-resolution(SISR), we present an image super-resolution algorithm based on adaptive dense connection (ADCSR). ...
We pre-trained SKIP to make BODY focus on high-frequency feature learning. The comparison of PSNR, SSIM, and visual effects verify the superiority of our method to the state-of-the-art algorithms. ...
AIM2019: Extreme Super-Resolution Challenge This work is initially proposed for the purpose of participating in the AIM2019 Extreme Super-Resolution Challenge. ...
arXiv:1912.08002v2
fatcat:rjvlg66bmfdbhbb2vnlkuxojre
Multi-scale deep neural networks for real image super-resolution
[article]
2019
arXiv
pre-print
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Single image super-resolution (SR) is extremely difficult if the upscaling factors of image pairs are unknown and different from each other, which is common in real image SR. ...
According to the preliminary results of NTIRE 2019 image SR challenge, our team (ZXHresearch@fudan) ranks 21-st among all participants. ...
Introduction Single image super-resolution (SR) aims at estimating the mapping from low-resolution (LR) to high-resolution (LR) spaces [4, 1, 5] . ...
arXiv:1904.10698v1
fatcat:jdrbcz7egze6daqlussy36adyu
Survey on CNN based super resolution methods
2021
Journal La Multiapp
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The study examines super-resolution methods based on a convolutional neural network (CNN) for super-resolution mapping at the sub-pixel level, as well as its primary characteristics and limitations for ...
Super Resolution is a field of image analysis that focuses on boosting the resolution of photographs and movies without compromising detail or visual appeal, instead enhancing both. ...
resolution methods based on CNN Authors
dataset
Method
Gap
Results
Jiwon Kim,
2016
[9]
T91
Set5, Set14,
B100 and
Urban100. ...
doi:10.37899/journallamultiapp.v2i4.444
fatcat:apjy2pjpfvenno6unrptjqm25e
Super-resolution data assimilation
[article]
2021
arXiv
pre-print
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Here we are testing an approach inspired from images super-resolution techniques and called "Super-resolution data assimilation" (SRDA). ...
Kalman Filter data assimilation method. ...
Julien Brajard and François Counillon are funded by the project SFE(#2700733 and #309562) of the Norwegian Research Council. Julien Brajard is also associate professor at Sorbonne Université. ...
arXiv:2109.08017v1
fatcat:4g7oi47cnbbnvchsc2hsyxv25e
Texture Hallucination for Large-Factor Painting Super-Resolution
[article]
2020
arXiv
pre-print
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super-resolution results and low-resolution inputs. ...
However, previous single image super-resolution (SISR) methods would either lose textural details or introduce unpleasing artifacts. ...
Texture Hallucination for Large-Factor Painting Super-Resolution ...
arXiv:1912.00515v4
fatcat:kgj635rfwfbrdeqyqvt35agxle
Unsupervised Learning for Real-World Super-Resolution
[article]
2019
arXiv
pre-print
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Most current super-resolution methods rely on low and high resolution image pairs to train a network in a fully supervised manner. ...
Super-resolution networks trained on such bicubic images therefore struggle to generalize to natural images. In this work, we propose an unsupervised approach for image super-resolution. ...
This work was partly supported by ETH General Fund, Amazon through an AWS grant, Nvidia through a GPU grant, and Huawei. ...
arXiv:1909.09629v1
fatcat:7665q2rpdfe53lauz2m2b6agnu
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. ...
In recent years, deep learning has made great progress in many fields such as image recognition, natural language processing, speech recognition and video super-resolution. ...
Zekun Li (Master student at School of Artificial Intelligence in Xidian University) and Dr. ...
arXiv:2007.12928v3
fatcat:nxoejcfdnzas3jznbqsale36ty
Photometric Depth Super-Resolution
[article]
2019
arXiv
pre-print
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2018 pre-print arXiv:1809.10097v1 fatcat:rlatdxcs4zf73j4vj6ssdqbb6u
Both quantitative and qualitative evaluations illustrate the effectiveness of the proposed methods on synthetic and real-world scenarios. ...
of the companion RGB image. ...
ACKNOWLEDGMENTS The authors wish to thank Thomas Möllenhoff for helpful discussions and comments, also they would like to thank Robert Maier for code to successfully render ply-files to depth maps. ...
arXiv:1809.10097v2
fatcat:tiqpcley2fg5bmzj3b2bzyk26u
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