Sökning: WFRF:(Zamir Syed Waqas) > NTIRE 2022 Burst Su...
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000 | 07363naa a2201069 4500 | |
001 | oai:DiVA.org:liu-190497 | |
003 | SwePub | |
008 | 221213s2022 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1904972 URI |
024 | 7 | a https://doi.org/10.1109/CVPRW56347.2022.001172 DOI |
040 | a (SwePub)liu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Bhat, Goutamu Swiss Fed Inst Technol, Switzerland4 aut |
245 | 1 0 | a NTIRE 2022 Burst Super-Resolution Challenge |
264 | 1 | b IEEE,c 2022 |
338 | a print2 rdacarrier | |
500 | a Funding Agencies|Huawei; Reality Labs; Bending Spoons; MediaTek; OPPO; Oddity; Voyage81; ETH Zurich (Computer Vision Lab); University of Wurzburg (CAIDAS) | |
520 | a Burst super-resolution has received increased attention in recent years due to its applications in mobile photography. By merging information from multiple shifted images of a scene, burst super-resolution aims to recover details which otherwise cannot be obtained using a simple input image. This paper reviews the NTIRE 2022 challenge on burst super-resolution. In the challenge, the participants were tasked with generating a clean RGB image with 4x higher resolution, given a RAW noisy burst as input. That is, the methods need to perform joint denoising, demosaicking, and super-resolution. The challenge consisted of 2 tracks. Track 1 employed synthetic data, where pixel-accurate high-resolution ground truths are available. Track 2 on the other hand used real-world bursts captured from a handheld camera, along with approximately aligned reference images captured using a DSLR. 14 teams participated in the final testing phase. The top performing methods establish a new state-of-the-art on the burst super-resolution task. | |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datorseende och robotik0 (SwePub)102072 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Vision and Robotics0 (SwePub)102072 hsv//eng |
700 | 1 | a Danelljan, Martinu Swiss Fed Inst Technol, Switzerland4 aut |
700 | 1 | a Timofte, Raduu Swiss Fed Inst Technol, Switzerland; Julius Maximilian Univ Wurzburg, Germany4 aut |
700 | 1 | a Cao, Yizhenu Commun Univ China, Peoples R China4 aut |
700 | 1 | a Cao, Yuntianu Commun Univ China, Peoples R China4 aut |
700 | 1 | a Chen, Meiyau Xiaomi, Peoples R China4 aut |
700 | 1 | a Chen, Xihaou USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut |
700 | 1 | a Cheng, Shenu Megvii Technol, Peoples R China4 aut |
700 | 1 | a Dudhane, Akshayu Mohamed Bin Zayed Univ AI MBZUAI, U Arab Emirates4 aut |
700 | 1 | a Fan, Haoqiangu Megvii Technol, Peoples R China4 aut |
700 | 1 | a Gang, Ruipengu UHDTV Res & Applicat Lab, Peoples R China4 aut |
700 | 1 | a Gao, Jianu SRC B, Peoples R China4 aut |
700 | 1 | a Gu, Yanu UESTC, Peoples R China4 aut |
700 | 1 | a Huang, Jieu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut |
700 | 1 | a Huang, Liufengu South China Univ Technol, Peoples R China4 aut |
700 | 1 | a Jo, Youngsuu Sogang Univ, South Korea4 aut |
700 | 1 | a Kang, Sukjuu Sogang Univ, South Korea4 aut |
700 | 1 | a Khan, Salmanu MBZUAI, U Arab Emirates; Australian Natl Univ ANU, Australia4 aut |
700 | 1 | a Khan, Fahadu Linköpings universitet,Datorseende,Tekniska fakulteten,MBZUAI, U Arab Emirates4 aut0 (Swepub:liu)fahkh30 |
700 | 1 | a Kondo, Yukiu Toyota Technol Inst TTI, Japan4 aut |
700 | 1 | a Li, Chenghuau Chinese Acad Sci, Peoples R China4 aut |
700 | 1 | a Li, Fangyau Commun Univ China, Peoples R China4 aut |
700 | 1 | a Li, Jinjingu Commun Univ China, Peoples R China4 aut |
700 | 1 | a Li, Youweiu Megvii Technol, Peoples R China4 aut |
700 | 1 | a Li, Zechaou Nanjing Univ Sci & Technol, Peoples R China4 aut |
700 | 1 | a Liu, Chenmingu UHDTV Research and Application Laboratory4 aut |
700 | 1 | a Liu, Shuaichengu Megvii Technol, Peoples R China; Univ Elect Sci & Technol China UESTC, Peoples R China4 aut |
700 | 1 | a Liu, Zikunu SRC B, Peoples R China4 aut |
700 | 1 | a Liu, Zhuomingu South China Univ Technol, Peoples R China4 aut |
700 | 1 | a Luo, Ziweiu Megvii Technol, Peoples R China4 aut |
700 | 1 | a Luo, Zhengxiongu CASIA, Peoples R China4 aut |
700 | 1 | a Mehta, Nancyu Indian Inst Technol Ropar IIT Ropar, India4 aut |
700 | 1 | a Murala, Subrahmanyamu Indian Inst Technol Ropar IIT Ropar, India4 aut |
700 | 1 | a Nam, Yoonchanu Sogang Univ, South Korea4 aut |
700 | 1 | a Nakatani, Chihirou Toyota Technol Inst TTI, Japan4 aut |
700 | 1 | a Ostyakov, Pavelu Huawei, Peoples R China4 aut |
700 | 1 | a Pan, Jinshanu Nanjing Univ Sci & Technol, Peoples R China4 aut |
700 | 1 | a Song, Geu USTC, Peoples R China4 aut |
700 | 1 | a Sun, Jianu Megvii Technol, Peoples R China4 aut |
700 | 1 | a Sun, Longu Nanjing Univ Sci & Technol, Peoples R China4 aut |
700 | 1 | a Tang, Jinhuiu Nanjing Univ Sci & Technol, Peoples R China4 aut |
700 | 1 | a Ukita, Norimichiu Toyota Technol Inst TTI, Japan4 aut |
700 | 1 | a Wen, Zhihongu Megvii Technol, Peoples R China4 aut |
700 | 1 | a Wu, Qiu Megvii Technol, Peoples R China4 aut |
700 | 1 | a Wu, Xiaoheu Harbin Inst Technol, Peoples R China4 aut |
700 | 1 | a Xiao, Zeyuu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut |
700 | 1 | a Xiong, Zhiweiu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut |
700 | 1 | a Xu, Rongjianu Harbin Inst Technol, Peoples R China4 aut |
700 | 1 | a Xu, Ruikangu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut |
700 | 1 | a Yan, Youliangu Huawei, Peoples R China4 aut |
700 | 1 | a Yang, Jialinu WHU, Peoples R China4 aut |
700 | 1 | a Yang, Wentaou South China Univ Technol, Peoples R China4 aut |
700 | 1 | a Yang, Zhongbaou Nanjing Univ Sci & Technol, Peoples R China4 aut |
700 | 1 | a Yasue, Fumau Toyota Technol Inst TTI, Japan4 aut |
700 | 1 | a Yao, Mingdeu USTC, Peoples R China; Univ Sci & Technol China, Peoples R China4 aut |
700 | 1 | a Yu, Leiu Megvii Technol, Peoples R China4 aut |
700 | 1 | a Zhang, Congu Xiaomi, Peoples R China4 aut |
700 | 1 | a Zamir, Syed Waqasu Incept Inst Artificial Intelligence IIAI, U Arab Emirates4 aut |
700 | 1 | a Zhang, Jianxingu SRC B, Peoples R China4 aut |
700 | 1 | a Zhang, Shuohaou Harbin Inst Technol, Peoples R China4 aut |
700 | 1 | a Zhang, Zhiluu Harbin Inst Technol, Peoples R China4 aut |
700 | 1 | a Zheng, Qianu Commun Univ China, Peoples R China4 aut |
700 | 1 | a Zhou, Gaofengu Xiaomi, Peoples R China4 aut |
700 | 1 | a Zhussip, Magauiyau Huawei, Peoples R China4 aut |
700 | 1 | a Zou, Xueyiu Huawei, Peoples R China4 aut |
700 | 1 | a Zuo, Wangmengu Harbin Inst Technol, Peoples R China4 aut |
710 | 2 | a Swiss Fed Inst Technol, Switzerlandb Swiss Fed Inst Technol, Switzerland; Julius Maximilian Univ Wurzburg, Germany4 org |
773 | 0 | t 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2022)d : IEEEg , s. 1040-1060q <1040-1060z 9781665487399z 9781665487405 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-190497 |
856 | 4 8 | u https://doi.org/10.1109/CVPRW56347.2022.00117 |
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