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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.  ...  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

Table of Contents

2021 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Zürich are the NTIRE 2021, challenge organizers), and Radu Timofte (ETH Zürich are the NTIRE 2021, challenge organizers) NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results 613 Goutam  ...  ), and Abdel Younes (Mobile AI 2021 challenge organizers) Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report 2535 Andrey Ignatov (Mobile AI 2021 challenge  ... 
doi:10.1109/cvprw53098.2021.00004 fatcat:yh3zw4afzneeza6jrd6377fd3y

Single Image Joint Motion Deblurring and Super-Resolution Using the Multi-Scale Channel Attention Modules

Misak T. Shoyan, National Polytechnic University of Armenia
2021 Mathematical Problems of Computer Science  
The deblurring subnetwork is based on multi-stage progressive architecture, while the super-resolution subnetwork is designed using the multi-scale channel attention modules.  ...  In classical image super-resolution problems, it is assumed that the low-resolution image has a certain downsampling degradation.  ...  Their network achieves top-2 PSNR/SSIM scores on track 1 of the NTIRE 2021 challenge [15] .  ... 
doi:10.51408/1963-0076 fatcat:ulnois4kvzggvclqywynfcfcfy

Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling [article]

Saikat Dutta, Nisarg A. Shah, Anurag Mittal
2021 arXiv   pre-print
Input LR frames are super-resolved using a state-of-the-art Video Super-Resolution method.  ...  This paper explores an efficient solution for Space-time Super-Resolution, aiming to generate High-resolution Slow-motion videos from Low Resolution and Low Frame rate videos.  ...  NTIRE 2021 Video Super-Resolution Challenge: Track 2 We have participated in NTIRE 2021 Video Super-Resolution Challenge: Track 2 (Spatio-temporal) [31] .  ... 
arXiv:2104.05778v3 fatcat:cbgo3l5sxbdsdf77vcogmesx5y

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.  ...  Real-Time https://ai-bench Video Super- 2021 CVPR VIRTUAL mark.com/worksho REDS ×4 Diggers (Ignatov et al., 2021) 28.33 0.8112 Resolution ps/mai/2021/ Challenge NTIRE Video Challenge Super-2021 Resolution  ... 
arXiv:2007.12928v3 fatcat:nxoejcfdnzas3jznbqsale36ty

NTIRE 2021 Challenge on Perceptual Image Quality Assessment [article]

Jinjin Gu and Haoming Cai and Chao Dong and Jimmy S. Ren and Yu Qiao and Shuhang Gu and Radu Timofte and Manri Cheon and Sungjun Yoon and Byungyeon Kang and Junwoo Lee and Qing Zhang and Haiyang Guo and Yi Bin and Yuqing Hou and Hengliang Luo and Jingyu Guo and Zirui Wang and Hai Wang and Wenming Yang and Qingyan Bai and Shuwei Shi and Weihao Xia and Mingdeng Cao and Jiahao Wang and Yifan Chen and Yujiu Yang and Yang Li and Tao Zhang and Longtao Feng and Yiting Liao and Junlin Li and William Thong and Jose Costa Pereira and Ales Leonardis and Steven McDonagh and Kele Xu and Lehan Yang and Hengxing Cai and Pengfei Sun and Seyed Mehdi Ayyoubzadeh and Ali Royat and Sid Ahmed Fezza and Dounia Hammou and Wassim Hamidouche and Sewoong Ahn and Gwangjin Yoon and Koki Tsubota and Hiroaki Akutsu and Kiyoharu Aizawa
2021 arXiv   pre-print
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR  ...  2021.  ...  Acknowledgements We thank the NTIRE 2021 sponsors: Huawei, Facebook Reality Labs, Wright Brothers Institute, MediaTek, OPPO and ETH Zurich (Computer Vision Lab).  ... 
arXiv:2105.03072v3 fatcat:mf4q3hvz4jbepgyhkzg7wbylqq

EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration [article]

Ruikang Xu, Zeyu Xiao, Jie Huang, Yueyi Zhang, Zhiwei Xiong
2021 arXiv   pre-print
In the NTIRE 2021 Image Deblurring Challenge, EDPN achieves the best PSNR/SSIM/LPIPS scores in Track 1 (Low Resolution) and the best SSIM/LPIPS scores in Track 2 (JPEG Artifacts).  ...  Experimental results demonstrate that our method significantly outperforms existing solutions for blurry image super-resolution and blurry image deblocking.  ...  Challenge Results In the NTIRE 2021 Image Deblurring Challenge, EDPN achieves the best PSNR/SSIM/LPIPS scores in Track 1 (Low Resolution) and the best SSIM/LPIPS scores in Track 2 (JPEG Artifacts).  ... 
arXiv:2105.04872v1 fatcat:4jjp7s5pjbd5flw7ar3sed46qu

NTIRE 2021 Multi-modal Aerial View Object Classification Challenge [article]

Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte, Sahil Jain, Bob Lee, Yuru Duan, Wei Wei, Lei Zhang, Songzheng Xu, Yuxuan Sun, Jiaqi Tang (+22 others)
2022 arXiv   pre-print
In this paper, we introduce the first Challenge on Multi-modal Aerial View Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR.  ...  We discuss the top methods submitted for this competition and evaluate their results on our blind test set.  ...  aerial view imagery classification [18] , learning the super-resolution space [20] , quality enhancement of heavily compressed videos [35] , video super-resolution [28] , perceptual image quality  ... 
arXiv:2107.01189v3 fatcat:td5roq6nh5bkdh4m4suc2a4ruq

Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information [article]

Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun
2021 arXiv   pre-print
And our method won Track 1 and Track 2, and was ranked the 2nd in Track 3 of NTIRE 2021 Quality enhancement of heavily compressed videos Challenge.  ...  Many deep learning based video compression artifact removal algorithms have been proposed to recover high-quality videos from low-quality compressed videos.  ...  NTIRE 2021 Dataset [30] . It is provided in NTIRE 2021 Quality enhancement of heavily compressed videos Challenge [31] .  ... 
arXiv:2105.14962v1 fatcat:rosuxh7a2jfnrei5fgsa6rlgq4

NTIRE 2021 Depth Guided Image Relighting Challenge

Majed El Helou, Ruofan Zhou, Sabine Susstrunk, Radu Timofte, Maitreya Suin, A. N. Rajagopalan, Yuanzhi Wang, Tao Lu, Yanduo Zhang, Yuntao Wu, Hao-Hsiang Yang, Wei-Ting Chen (+32 others)
2021 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
In this paper, we review the NTIRE 2021 depth guided image relighting challenge. We rely on the VIDIT dataset for each of our two challenge tracks, including depth information.  ...  The first track is on one-to-one relighting where the goal is to transform the illumination setup of an input image (color temperature and light source position) to the target illumination setup.  ...  Acknowledgements We thank the NTIRE 2021 sponsors: Huawei, Facebook Reality Labs, Wright Brothers Institute, MediaTek, OPPO and ETH Zurich (Computer Vision Lab).  ... 
doi:10.1109/cvprw53098.2021.00069 fatcat:mihljetrtnggdbtohljudl5ioq

On the Generalization of BasicVSR++ to Video Deblurring and Denoising [article]

Kelvin C.K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy
2022 arXiv   pre-print
The promising results demonstrate the importance of propagation and alignment in video restoration tasks beyond just video super-resolution.  ...  The recent BasicVSR and BasicVSR++ have shown remarkable performance in video super-resolution through long-term propagation and effective alignment.  ...  For video super-resolution and compressed video enhancement, we refer readers to our original paper [5] and the NTIRE 2021 challenge report [35] , respectively. Video Deblurring Settings.  ... 
arXiv:2204.05308v1 fatcat:tok5ejkrejgwhhva5wkgj4xgri

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.  ...  Experiments are conducted on a benchmark Vid4 dataset to evaluate the efficacy of the proposed approach.  ...  In the NTIRE 2017 challenge, Timofte et al. [20] provided a huge dataset of diverse 2K resolution images (DIV2K).  ... 
doi:10.3390/math9222873 fatcat:dlh2t4fs25bbvp55wb3mbgt42y

Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric [article]

Eugene Lyapustin, Anastasia Kirillova, Viacheslav Meshchaninov, Evgeney Zimin, Nikolai Karetin, Dmitriy Vatolin
2022 arXiv   pre-print
Super-resolution (SR) has become a widely researched topic in recent years. SR methods can improve overall image and video quality and create new possibilities for further content analysis.  ...  To analyze the detail-restoration capabilities of image and video SR models, we developed a benchmark based on our own video dataset, which contains complex patterns that SR models generally fail to correctly  ...  NTIRE 2021 Challenge on Video Super-resolution [28] presents evaluation results of quality restoration competition on full (track 1) and half (track 2) framerate, 247 and 223 participants have registered  ... 
arXiv:2203.08923v1 fatcat:x2djqmxgubejtjxjarrjvosrla

Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts

Bruno Lecouat, Jean Ponce, Julien Mairal
2021 2021 IEEE/CVF International Conference on Computer Vision (ICCV)  
Output of Dcraw Camera's ISP (hi-quality jpeg) Joint demosaick+single-image SR Proposed method Figure 1 : ×4 super-resolution results obtained from a burst of 30 raw images acquired with a handheld Panasonic  ...  Since the submission of our paper, the results of the NTIRE 2021 burst super-resolution challenge have been published [3] .  ...  Most multi-frame algorithms focus on video super-resolution.  ... 
doi:10.1109/iccv48922.2021.00237 fatcat:dhtqfk5cnveyhfv3z4ahetdaw4

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results [article]

Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C.K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li (+60 others)
2021 arXiv   pre-print
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results.  ...  In this challenge, the new Large-scale Diverse Video (LDV) dataset is employed. The challenge has three tracks.  ...  Acknowledgments We thank the NTIRE 2021 sponsors: Huawei, Facebook Reality Labs, Wright Brothers Institute, MediaTek, OPPO and ETH Zurich (Computer Vision Lab).  ... 
arXiv:2104.10781v5 fatcat:v7q6rfewwbdbhfe7lj2i4u2gxa
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