Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey
This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. For this, we use a diverse test set containing a variety of 4K images ran...
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| creator | Conde, Marcos V Lei, Zhijun Li, Wen Stejerean, Cosmin Katsavounidis, Ioannis Timofte, Radu Yoon, Kihwan Gankhuyag, Ganzorig Lv, Jiangtao Long, Sun Pan, Jinshan Dong, Jiangxin Tang, Jinhui Li, Zhiyuan Hao, Wei Ge, Chenyang Zhang, Dongyang Liu, Tianle Chen, Huaian Jin, Yi Zhou, Menghan Yan, Yiqiang Gao, Si Wu, Biao Liu, Shaoli Zheng, Chengjian Zhang, Diankai Wang, Ning Qiu, Xintao Zhou, Yuanbo Wu, Kongxian Dai, Xinwei Tang, Hui Deng, Wei Gao, Qingquan Tong, Tong Lee, Jae-Hyeon Ui-Jin, Choi Yan, Min Liu, Xin Wang, Qian Ye, Xiaoqian Du, Zhan Zhang, Tiansen Long, Peng Guo, Jiaming Di, Xin Liao, Bohao Du, Zhibo Xia, Peize Pei, Renjing Wang, Yang Cao, Yang Zha, Zhengjun Han, Bingnan Yu, Hongyuan Wu, Zhuoyuan Cheng, Wan Liu, Yuqing Yu, Haodong Li, Jizhe Huang, Zhijuan Huang, Yuan Zou, Yajun Guan, Xianyu Jia, Qi Zhang, Heng Yin, Xuanwu Zuo, Kunlong Hyeon-Cheol Moon Tae-hyun Jeong Yang, Yoonmo Jae-Gon, Kim Jeong, Jinwoo Kim, Sunjei |
| description | This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. For this, we use a diverse test set containing a variety of 4K images ranging from digital art to gaming and photography. The images are compressed using the modern AVIF codec, instead of JPEG. All the proposed methods improve PSNR fidelity over Lanczos interpolation, and process images under 10ms. Out of the 160 participants, 25 teams submitted their code and models. The solutions present novel designs tailored for memory-efficiency and runtime on edge devices. This survey describes the best solutions for real-time SR of compressed high-resolution images. |
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AIS 2024 Challenge Survey</title><source>Open Access: Freely Accessible Journals by multiple vendors</source><creator>Conde, Marcos V ; Lei, Zhijun ; Li, Wen ; Stejerean, Cosmin ; Katsavounidis, Ioannis ; Timofte, Radu ; Yoon, Kihwan ; Gankhuyag, Ganzorig ; Lv, Jiangtao ; Long, Sun ; Pan, Jinshan ; Dong, Jiangxin ; Tang, Jinhui ; Li, Zhiyuan ; Hao, Wei ; Ge, Chenyang ; Zhang, Dongyang ; Liu, Tianle ; Chen, Huaian ; Jin, Yi ; Zhou, Menghan ; Yan, Yiqiang ; Gao, Si ; Wu, Biao ; Liu, Shaoli ; Zheng, Chengjian ; Zhang, Diankai ; Wang, Ning ; Qiu, Xintao ; Zhou, Yuanbo ; Wu, Kongxian ; Dai, Xinwei ; Tang, Hui ; Deng, Wei ; Gao, Qingquan ; Tong, Tong ; Lee, Jae-Hyeon ; Ui-Jin, Choi ; Yan, Min ; Liu, Xin ; Wang, Qian ; Ye, Xiaoqian ; Du, Zhan ; Zhang, Tiansen ; Long, Peng ; Guo, Jiaming ; Di, Xin ; Liao, Bohao ; Du, Zhibo ; Xia, Peize ; Pei, Renjing ; Wang, Yang ; Cao, Yang ; Zha, Zhengjun ; Han, Bingnan ; Yu, Hongyuan ; Wu, Zhuoyuan ; Cheng, Wan ; Liu, Yuqing ; Yu, Haodong ; Li, Jizhe ; Huang, Zhijuan ; Huang, Yuan ; Zou, Yajun ; Guan, Xianyu ; Jia, Qi ; Zhang, Heng ; Yin, Xuanwu ; Zuo, Kunlong ; Hyeon-Cheol Moon ; Tae-hyun Jeong ; Yang, Yoonmo ; Jae-Gon, Kim ; Jeong, Jinwoo ; Kim, Sunjei</creator><creatorcontrib>Conde, Marcos V ; Lei, Zhijun ; Li, Wen ; Stejerean, Cosmin ; Katsavounidis, Ioannis ; Timofte, Radu ; Yoon, Kihwan ; Gankhuyag, Ganzorig ; Lv, Jiangtao ; Long, Sun ; Pan, Jinshan ; Dong, Jiangxin ; Tang, Jinhui ; Li, Zhiyuan ; Hao, Wei ; Ge, Chenyang ; Zhang, Dongyang ; Liu, Tianle ; Chen, Huaian ; Jin, Yi ; Zhou, Menghan ; Yan, Yiqiang ; Gao, Si ; Wu, Biao ; Liu, Shaoli ; Zheng, Chengjian ; Zhang, Diankai ; Wang, Ning ; Qiu, Xintao ; Zhou, Yuanbo ; Wu, Kongxian ; Dai, Xinwei ; Tang, Hui ; Deng, Wei ; Gao, Qingquan ; Tong, Tong ; Lee, Jae-Hyeon ; Ui-Jin, Choi ; Yan, Min ; Liu, Xin ; Wang, Qian ; Ye, Xiaoqian ; Du, Zhan ; Zhang, Tiansen ; Long, Peng ; Guo, Jiaming ; Di, Xin ; Liao, Bohao ; Du, Zhibo ; Xia, Peize ; Pei, Renjing ; Wang, Yang ; Cao, Yang ; Zha, Zhengjun ; Han, Bingnan ; Yu, Hongyuan ; Wu, Zhuoyuan ; Cheng, Wan ; Liu, Yuqing ; Yu, Haodong ; Li, Jizhe ; Huang, Zhijuan ; Huang, Yuan ; Zou, Yajun ; Guan, Xianyu ; Jia, Qi ; Zhang, Heng ; Yin, Xuanwu ; Zuo, Kunlong ; Hyeon-Cheol Moon ; Tae-hyun Jeong ; Yang, Yoonmo ; Jae-Gon, Kim ; Jeong, Jinwoo ; Kim, Sunjei</creatorcontrib><description>This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. 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AIS 2024 Challenge Survey</title><title>arXiv.org</title><description>This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. For this, we use a diverse test set containing a variety of 4K images ranging from digital art to gaming and photography. The images are compressed using the modern AVIF codec, instead of JPEG. All the proposed methods improve PSNR fidelity over Lanczos interpolation, and process images under 10ms. Out of the 160 participants, 25 teams submitted their code and models. The solutions present novel designs tailored for memory-efficiency and runtime on edge devices. This survey describes the best solutions for real-time SR of compressed high-resolution images.</description><subject>Codec</subject><subject>Digital imaging</subject><subject>Image compression</subject><subject>Image resolution</subject><subject>Real time</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNi0ELgjAYQEcQJOV_-KDzYm7T8iiSJN1MusqgT1Oms02D_n0e-gGd3uG9tyIeFyKgJ8n5hvjOdYwxHh15GAqPFAUqTcu2R5BXuM0jWlqgM3qeWjOAqSE1_WjROXxAcs8zyHvVoDtAkt-AMy4hfSqtcWhw2e0bPzuyrpV26P-4JfvsXKYXOlrzmtFNVWdmOyyqEkxGcRxLHoj_qi-CWDzu</recordid><startdate>20240425</startdate><enddate>20240425</enddate><creator>Conde, Marcos V</creator><creator>Lei, Zhijun</creator><creator>Li, Wen</creator><creator>Stejerean, Cosmin</creator><creator>Katsavounidis, Ioannis</creator><creator>Timofte, Radu</creator><creator>Yoon, Kihwan</creator><creator>Gankhuyag, Ganzorig</creator><creator>Lv, Jiangtao</creator><creator>Long, Sun</creator><creator>Pan, Jinshan</creator><creator>Dong, Jiangxin</creator><creator>Tang, Jinhui</creator><creator>Li, Zhiyuan</creator><creator>Hao, Wei</creator><creator>Ge, Chenyang</creator><creator>Zhang, Dongyang</creator><creator>Liu, Tianle</creator><creator>Chen, Huaian</creator><creator>Jin, Yi</creator><creator>Zhou, Menghan</creator><creator>Yan, Yiqiang</creator><creator>Gao, Si</creator><creator>Wu, Biao</creator><creator>Liu, Shaoli</creator><creator>Zheng, Chengjian</creator><creator>Zhang, Diankai</creator><creator>Wang, Ning</creator><creator>Qiu, Xintao</creator><creator>Zhou, Yuanbo</creator><creator>Wu, Kongxian</creator><creator>Dai, Xinwei</creator><creator>Tang, Hui</creator><creator>Deng, Wei</creator><creator>Gao, Qingquan</creator><creator>Tong, Tong</creator><creator>Lee, Jae-Hyeon</creator><creator>Ui-Jin, Choi</creator><creator>Yan, Min</creator><creator>Liu, Xin</creator><creator>Wang, Qian</creator><creator>Ye, Xiaoqian</creator><creator>Du, Zhan</creator><creator>Zhang, Tiansen</creator><creator>Long, Peng</creator><creator>Guo, Jiaming</creator><creator>Di, Xin</creator><creator>Liao, Bohao</creator><creator>Du, Zhibo</creator><creator>Xia, Peize</creator><creator>Pei, Renjing</creator><creator>Wang, Yang</creator><creator>Cao, Yang</creator><creator>Zha, Zhengjun</creator><creator>Han, Bingnan</creator><creator>Yu, Hongyuan</creator><creator>Wu, Zhuoyuan</creator><creator>Cheng, Wan</creator><creator>Liu, Yuqing</creator><creator>Yu, Haodong</creator><creator>Li, Jizhe</creator><creator>Huang, Zhijuan</creator><creator>Huang, Yuan</creator><creator>Zou, Yajun</creator><creator>Guan, Xianyu</creator><creator>Jia, Qi</creator><creator>Zhang, Heng</creator><creator>Yin, Xuanwu</creator><creator>Zuo, Kunlong</creator><creator>Hyeon-Cheol Moon</creator><creator>Tae-hyun Jeong</creator><creator>Yang, Yoonmo</creator><creator>Jae-Gon, Kim</creator><creator>Jeong, Jinwoo</creator><creator>Kim, Sunjei</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20240425</creationdate><title>Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey</title><author>Conde, Marcos V ; Lei, Zhijun ; Li, Wen ; Stejerean, Cosmin ; Katsavounidis, Ioannis ; Timofte, Radu ; Yoon, Kihwan ; Gankhuyag, Ganzorig ; Lv, Jiangtao ; Long, Sun ; Pan, Jinshan ; Dong, Jiangxin ; Tang, Jinhui ; Li, Zhiyuan ; Hao, Wei ; Ge, Chenyang ; Zhang, Dongyang ; Liu, Tianle ; Chen, Huaian ; Jin, Yi ; Zhou, Menghan ; Yan, Yiqiang ; Gao, Si ; Wu, Biao ; Liu, Shaoli ; Zheng, Chengjian ; Zhang, Diankai ; Wang, Ning ; Qiu, Xintao ; Zhou, Yuanbo ; Wu, Kongxian ; Dai, Xinwei ; Tang, Hui ; Deng, Wei ; Gao, Qingquan ; Tong, Tong ; Lee, Jae-Hyeon ; Ui-Jin, Choi ; Yan, Min ; Liu, Xin ; Wang, Qian ; Ye, Xiaoqian ; Du, Zhan ; Zhang, Tiansen ; Long, Peng ; Guo, Jiaming ; Di, Xin ; Liao, Bohao ; Du, Zhibo ; Xia, Peize ; Pei, Renjing ; Wang, Yang ; Cao, Yang ; Zha, Zhengjun ; Han, Bingnan ; Yu, Hongyuan ; Wu, Zhuoyuan ; Cheng, Wan ; Liu, Yuqing ; Yu, Haodong ; Li, Jizhe ; Huang, Zhijuan ; Huang, Yuan ; Zou, Yajun ; Guan, Xianyu ; Jia, Qi ; Zhang, Heng 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Peng</au><au>Guo, Jiaming</au><au>Di, Xin</au><au>Liao, Bohao</au><au>Du, Zhibo</au><au>Xia, Peize</au><au>Pei, Renjing</au><au>Wang, Yang</au><au>Cao, Yang</au><au>Zha, Zhengjun</au><au>Han, Bingnan</au><au>Yu, Hongyuan</au><au>Wu, Zhuoyuan</au><au>Cheng, Wan</au><au>Liu, Yuqing</au><au>Yu, Haodong</au><au>Li, Jizhe</au><au>Huang, Zhijuan</au><au>Huang, Yuan</au><au>Zou, Yajun</au><au>Guan, Xianyu</au><au>Jia, Qi</au><au>Zhang, Heng</au><au>Yin, Xuanwu</au><au>Zuo, Kunlong</au><au>Hyeon-Cheol Moon</au><au>Tae-hyun Jeong</au><au>Yang, Yoonmo</au><au>Jae-Gon, Kim</au><au>Jeong, Jinwoo</au><au>Kim, Sunjei</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey</atitle><jtitle>arXiv.org</jtitle><date>2024-04-25</date><risdate>2024</risdate><eissn>2331-8422</eissn><abstract>This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. For this, we use a diverse test set containing a variety of 4K images ranging from digital art to gaming and photography. The images are compressed using the modern AVIF codec, instead of JPEG. All the proposed methods improve PSNR fidelity over Lanczos interpolation, and process images under 10ms. Out of the 160 participants, 25 teams submitted their code and models. The solutions present novel designs tailored for memory-efficiency and runtime on edge devices. This survey describes the best solutions for real-time SR of compressed high-resolution images.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | EISSN: 2331-8422 |
| ispartof | arXiv.org, 2024-04 |
| issn | 2331-8422 |
| language | eng |
| recordid | cdi_proquest_journals_3046999421 |
| source | Open Access: Freely Accessible Journals by multiple vendors |
| subjects | Codec Digital imaging Image compression Image resolution Real time |
| title | Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T09%3A04%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=Real-Time%204K%20Super-Resolution%20of%20Compressed%20AVIF%20Images.%20AIS%202024%20Challenge%20Survey&rft.jtitle=arXiv.org&rft.au=Conde,%20Marcos%20V&rft.date=2024-04-25&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E3046999421%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3046999421&rft_id=info:pmid/&rfr_iscdi=true |