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NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results [article]

Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha (+51 others)
2020 arXiv   pre-print
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]

Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini (+14 others)
2020 arXiv   pre-print
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]

Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng (+73 others)
2020 arXiv   pre-print
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]

Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, SeYoung Chun, Wei Deng, Mostafa El-Khamy (+34 others)
2020 arXiv   pre-print
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

Kirsten Christensen-Jeffries, Olivier Couture, Paul A. Dayton, Yonina C. Eldar, Kullervo Hynynen, Fabian Kiessling, Meaghan O'Reilly, Gianmarco F. Pinton, Georg Schmitz, Meng-Xing Tang, Mickael Tanter, Ruud J.G. van Sloun
2020 Ultrasound in Medicine and Biology  
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]

Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong (+15 others)
2019 arXiv   pre-print
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]

Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee
2020 arXiv   pre-print
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]

Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li
2019 arXiv   pre-print
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]

Shangqi Gao, Xiahai Zhuang
2019 arXiv   pre-print
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

Rafaa Amen Kazem, Jamila H. Suad, Huda Abdulaali Abdulbaqi
2021 Journal La Multiapp  
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]

Sébastien Barthélémy and Julien Brajard and Laurent Bertino and François Counillon
2021 arXiv   pre-print
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]

Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu
2020 arXiv   pre-print
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]

Andreas Lugmayr and Martin Danelljan and Radu Timofte
2019 arXiv   pre-print
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]

Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte
2022 arXiv   pre-print
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]

Bjoern Haefner, Songyou Peng, Alok Verma, Yvain Quéau, Daniel Cremers
2019 arXiv   pre-print
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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