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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

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.  ...  Common scaling factors for learned video super-resolution (VSR) do not go beyond factor 4.  ...  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 2019 Challenge on Video Temporal Super-Resolution: Methods and Results [article]

Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee
2020 arXiv   pre-print
This paper reviews the first AIM challenge on video temporal super-resolution (frame interpolation) with a focus on the proposed solutions and results.  ...  The challenge winning methods achieve the state-of-the-art in video temporal superresolution.  ...  Acknowledgments We thank the AIM 2019 sponsors. A. Teams and affiliations AIM 2019 team Title: AIM 2019 Challenge on Video Temporal Super-  ... 
arXiv:2005.01233v1 fatcat:aqxpmzat7jcwdiztapx5sttceq

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results [article]

Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han (+64 others)
2020 arXiv   pre-print
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020.  ...  The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications.  ...  AIM 2020 Challenge on Real Image Super-Resolution The objectives of the AIM 2020 challenge on real image super-resolution challenge are: (i) to further explore the researches on real image SR; (ii) to  ... 
arXiv:2009.12072v1 fatcat:7cwsjfhqa5cf7avfvdabpmxrda

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

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results [article]

Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu (+67 others)
2022 arXiv   pre-print
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video.  ...  The proposed methods and solutions gauge the state-of-the-art of super-resolution and quality enhancement of compressed video.  ...  We also thank Peilin Chen and Prof. Shiqi Wang from the City University of Hong Kong for providing the results of their method [13] on the validation and test sets.  ... 
arXiv:2204.09314v2 fatcat:br5dapahr5cyrjowcfjwlkkdnm

NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results [article]

Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov (+9 others)
2020 arXiv   pre-print
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQM), which addresses the issues of quality mapping from source video domain to target video domain.  ...  The challenge includes both a supervised track (track 1) and a weakly-supervised track (track 2) for two benchmark datasets.  ...  Acknowledgements We thank the NTIRE 2020 sponsors: Huawei, Oppo, Voyage81, MediaTek, DisneyResearch|Studios, and Computer Vision Lab (CVL) ETH Zurich.  ... 
arXiv:2005.02291v3 fatcat:z5zgwpnyrveothp337xeb7yfoy

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

Suitability of Single Image Super-Resolution Models for Video Super-Resolution

2020 International Journal of Engineering and Advanced Technology  
We further draw a conclusion on the suitability and extent to which these models may be used for video super resolution.  ...  Super Resolution refers to the process of enhancing the quality of low resolution images and video.  ...  An enhanced deep super-resolution network (EDSR) exceeds the performance of current state of the art Super Resolution methods.  ... 
doi:10.35940/ijeat.e9575.069520 fatcat:6fpmkgqvvrcpjgyslaivsvwlpu

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
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

Real Image Super Resolution Via Heterogeneous Model Ensemble using GP-NAS [article]

Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding
2021 arXiv   pre-print
The proposed method won the first place in all three tracks of the AIM 2020 Real Image Super-Resolution Challenge.  ...  While these models perform well on benchmark dataset where low-resolution (LR) images are constructed from high-resolution (HR) references with known blur kernel, real image SR is more challenging when  ...  and model-ensemble for full-size images. • The proposed method was applied for the AIM 2020 Real Image Super-Resolution Challenge and won the first place in all three tracks (upscaling factors of ×2,  ... 
arXiv:2009.01371v2 fatcat:nwoeffzuzvhdhldltcwzpp2iwq

Multi-Attention Based Ultra Lightweight Image Super-Resolution [article]

Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Yongwoo Kim, Sung-Ho Bae
2020 arXiv   pre-print
We participated in AIM 2020 efficient SR challenge with our MAFFSRN model and won 1st, 3rd, and 4th places in memory usage, floating-point operations (FLOPs) and number of parameters, respectively.  ...  Lightweight image super-resolution (SR) networks have the utmost significance for real-world applications.  ...  Also, this research was a result of a study on the "HPC Support" Project, supported by the Ministry of Science and ICT and NIPA.  ... 
arXiv:2008.12912v2 fatcat:eiens4564ze4fgefkqmv6id6vi

Journey Towards Tiny Perceptual Super-Resolution [article]

Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
2020 arXiv   pre-print
Recent works in single-image perceptual super-resolution (SR) have demonstrated unprecedented performance in generating realistic textures by means of deep convolutional networks.  ...  Our tiny perceptual SR (TPSR) models outperform SRGAN and EnhanceNet on both full-reference perceptual metric (LPIPS) and distortion metric (PSNR) while being up to 26.4× more memory efficient and 33.6  ...  Perceptual-based methods [27, 32, 48, 39] , on the other hand, aim to improve the visual quality by reducing the distance between the distribution of natural images and that of the upsampled images, resulting  ... 
arXiv:2007.04356v1 fatcat:6amek5mkc5dd7aagw4zwumikci

Efficient Image Super-Resolution Using Pixel Attention [article]

Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong
2020 arXiv   pre-print
This work aims at designing a lightweight convolutional neural network for image super resolution (SR).  ...  This block is much more efficient than conventional residual/dense blocks, for its twobranch architecture and attention scheme.  ...  We also compare with IMDN, which is the first place of AIM 2019 Challenge on Constrained Super-Resolution and has 715K parameters.  ... 
arXiv:2010.01073v1 fatcat:s7gu2iwrenh4bfeg7eqfhlkpym

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.  ...  Such displacements are significant relative the structures that super-resolution ultrasound aims to resolve.  ... 
doi:10.1016/j.ultrasmedbio.2019.11.013 pmid:31973952 fatcat:gt6l3av375e4dg7tebmcckcqdm
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