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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.  ...  From low-frame-rate (15 fps) videos, the challenge participants are required to submit higher-frame-rate (30 and 60 fps) sequences by estimating temporally intermediate frames.  ...  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

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 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

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.  ...  It is well known that the leverage of information within video frames is important for video super-resolution.  ...  * * * Challenge y/icip2019 AIM 2020 Chal- lenge on Video Extreme Super- 2020 ECCV Boston, Massachusetts http://aim2020.or g/ Vid3oC ×16 EVESRNet (Dario et al., 2020) 22.83 0.6450 Resolution Mobile AI 2021  ... 
arXiv:2007.12928v3 fatcat:nxoejcfdnzas3jznbqsale36ty

VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge [article]

Jiale Chen, Xu Tan, Chaowei Shan, Sen Liu, Zhibo Chen
2020 arXiv   pre-print
This paper introduces VESR-Net, a method for video enhancement and super-resolution (VESR).  ...  It is worth to mention that among more than thousands of participants for Youku video enhancement and super-resolution (Youku-VESR) challenge, our proposed VESR-Net beat other competitive methods and ranked  ...  Introduction Video enhancement and super-resolution (VESR) [7, 5, 22, 11, 19] aims to recover high-resolution details from noisy and low-resolution video frames, and has draw a lot of attention both  ... 
arXiv:2003.02115v1 fatcat:2am5djpgjjbpfl74jvh3ktei6i

Deformable Kernel Convolutional Network for Video Extreme Super-Resolution [article]

Xuan Xu, Xin Xiong, Jinge Wang, Xin Li
2020 arXiv   pre-print
We have tested DKSAN on AIM2020 Video Extreme Super-Resolution Challenge to super-resolve videos with a scale factor as large as 16.  ...  Video super-resolution, which attempts to reconstruct high-resolution video frames from their corresponding low-resolution versions, has received increasingly more attention in recent years.  ...  We have participated in the AIM2020 video extreme super-resolution challenges which is the second edition of AIM2019 challenges [6] .  ... 
arXiv:2010.00154v1 fatcat:f3dzxtoqlnh4ho4463rfhcacqi

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution [article]

Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu
2020 arXiv   pre-print
In this paper, we explore the space-time video super-resolution task, which aims to generate a high-resolution (HR) slow-motion video from a low frame rate (LFR), low-resolution (LR) video.  ...  To overcome the problems, we propose a one-stage space-time video super-resolution framework, which directly synthesizes an HR slow-motion video from an LFR, LR video.  ...  Video Super-Resolution Video super-resolution aims to reconstruct an HR video frame from the corresponding LR frame (reference frame) and its neighboring LR frames (supporting frames).  ... 
arXiv:2002.11616v1 fatcat:vuktcfuowvgwrky2tocrlefsru

Across Scales Across Dimensions: Temporal Super-Resolution using Deep Internal Learning [article]

Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani
2020 arXiv   pre-print
True Temporal Super-Resolution (TSR) is more than just Temporal-Interpolation (increasing framerate).  ...  In particular, the higher spatial resolution of video frames provides strong examples as to how to increase the temporal resolution of that video.  ...  This project received funding from the European Research Council (ERC) Horizon 2020, grant No 788535, from the Carolito Stiftung and by grant from D. Dan and Betty Kahn Foundation.  ... 
arXiv:2003.08872v3 fatcat:tpff24pevzbw3ghby52yrajnii

Efficient and Phase-aware Video Super-resolution for Cardiac MRI [article]

Jhih-Yuan Lin, Yu-Cheng Chang, Winston H. Hsu
2020 arXiv   pre-print
To this end, we propose a novel end-to-end trainable network to solve CMR video super-resolution problem without the hardware upgrade and the scanning protocol modifications.  ...  We incorporate the cardiac knowledge into our model to assist in utilizing the temporal information.  ...  To address this issue, the single image super-resolution (SISR) technique, which aims at reconstructing a high-resolution (HR) image from low-resolution (LR) one, holds a great promise that does not need  ... 
arXiv:2005.10626v4 fatcat:nbunutlaerfk5bkrttdsagyjia

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.  ...  In track 2, algorithms are required to learn the quality mapping from one device to another when their quality varies substantially and weakly-aligned video pairs are available.  ...  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

NTIRE 2020 Challenge on Image and Video Deblurring [article]

Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee
2020 arXiv   pre-print
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.  ...  Track 3 targets developing video deblurring methods that exploit the temporal relation between input frames.  ...  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

DSTnet: Deformable Spatio-Temporal Convolutional Residual Network for Video Super-Resolution

Anusha Khan, Allah Bux Sargano, Zulfiqar Habib
2021 Mathematics  
Video super-resolution (VSR) aims at generating high-resolution (HR) video frames with plausible and temporally consistent details using their low-resolution (LR) counterparts, and neighboring frames.  ...  The key challenge for VSR lies in the effective exploitation of intra-frame spatial relation and temporal dependency between consecutive frames.  ...  Because video is one of the most often used forms of multimedia in our everyday lives, super-resolution of low-resolution videos has become critical.  ... 
doi:10.3390/math9222873 fatcat:dlh2t4fs25bbvp55wb3mbgt42y

Video Super-resolution with Temporal Group Attention [article]

Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
2020 arXiv   pre-print
Video super-resolution, which aims at producing a high-resolution video from its corresponding low-resolution version, has recently drawn increasing attention.  ...  In this work, we propose a novel method that can effectively incorporate temporal information in a hierarchical way.  ...  Introduction Super-resolution aims at producing high-resolution (HR) images from the corresponding low-resolution (LR) ones by filling in missing details.  ... 
arXiv:2007.10595v1 fatcat:dkl6womwhbbxhjd3kbawqmrqoa

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.  ...  Track 1 aims at enhancing the videos compressed by HEVC at a fixed QP. Track 2 and Track 3 target both the super-resolution and quality enhancement of HEVC compressed video.  ...  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

PP-MSVSR: Multi-Stage Video Super-Resolution [article]

Lielin Jiang and Na Wang and Qingqing Dang and Rui Liu and Baohua Lai
2021 arXiv   pre-print
Different from the Single Image Super-Resolution(SISR) task, the key for Video Super-Resolution(VSR) task is to make full use of complementary information across frames to reconstruct the high-resolution  ...  And the PP-MSVSR-L exceeds all state of the art method on REDS4 datasets with considerable parameters. Code and models will be released in PaddleGAN[https://github.com/PaddlePaddle/PaddleGAN.].  ...  Multi-temporal ultra dense memory network for video super-resolution.  ... 
arXiv:2112.02828v1 fatcat:ex5c47uufjbzjjemcxpfxvbqra
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