{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T07:39:42Z","timestamp":1781249982565,"version":"3.54.1"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62471158"],"award-info":[{"award-number":["62471158"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23B2009"],"award-info":[{"award-number":["U23B2009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3567205","type":"journal-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T17:46:10Z","timestamp":1747071970000},"page":"3997-4010","source":"Crossref","is-referenced-by-count":12,"title":["Learning Dynamic Prompts for All-in-One Image Restoration"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5003-3117","authenticated-orcid":false,"given":"Gang","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5694-505X","authenticated-orcid":false,"given":"Junjun","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4055-7503","authenticated-orcid":false,"given":"Kui","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8857-1785","authenticated-orcid":false,"given":"Xianming","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1476-0273","authenticated-orcid":false,"given":"Liqiang","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/79.581363"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.02.046"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02142"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01174"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-023-1466-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00837"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3102504"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00571"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6865"},{"key":"ref14","first-page":"6545","article-title":"IRNeXt: Rethinking convolutional network design for image restoration","volume-title":"Proc. ICML","volume":"202","author":"Cui"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3330416"},{"key":"ref16","first-page":"1","article-title":"RoboDepth: Robust Out-of-Distribution depth estimation under corruptions","volume-title":"Proc. NeurIPS","author":"Kong"},{"key":"ref17","article-title":"A survey on All-in-One image restoration: Taxonomy, evaluation and future trends","author":"Jiang","year":"2024","journal-title":"arXiv:2410.15067"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01693"},{"key":"ref20","first-page":"1","article-title":"Promptir: Prompting for all-in-one image restoration","volume-title":"Proc. NeurIPS","author":"Potlapalli"},{"key":"ref21","article-title":"Towards effective multiple-in-one image restoration: A sequential and prompt learning strategy","author":"Kong","year":"2024","journal-title":"arXiv:2401.03379"},{"key":"ref22","article-title":"Prompt-In-Prompt learning for universal image restoration","author":"Li","year":"2023","journal-title":"arXiv:2312.05038"},{"key":"ref23","article-title":"AdaIR: Adaptive All-in-One image restoration via frequency mining and modulation","author":"Cui","year":"2024","journal-title":"arXiv:2403.14614"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00244"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02352"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02403"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00352"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00276"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3497807"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3457790"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02421"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3419007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s23052385"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"ref37","article-title":"HAT: Hybrid attention transformer for image restoration","author":"Chen","year":"2023","journal-title":"arXiv:2309.05239"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_26"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00239"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00564"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02083"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3238179"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02404"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680762"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3560815"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01631"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01398"},{"key":"ref49","article-title":"Prototype-anchored learning for learning with imperfect annotations","author":"Zhou","year":"2022","journal-title":"arXiv:2206.11602"},{"key":"ref50","first-page":"1","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2631888"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2867951"},{"key":"ref57","article-title":"Perceive-IR: Learning to perceive degradation better for All-in-One image restoration","author":"Zhang","year":"2024","journal-title":"arXiv:2408.15994"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72649-1_13"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2925793"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02056-0"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3456583"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72764-1_1"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.35"},{"key":"ref65","first-page":"155","article-title":"Deep Retinex decomposition for low-light enhancement","volume-title":"Proc. Brit. Mach. Vis. Conf. (BMVC)","author":"Wei"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72655-2_15"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3167175"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01149"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/11002360.pdf?arnumber=11002360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T17:46:00Z","timestamp":1750959960000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11002360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3567205","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}