{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:50:59Z","timestamp":1781016659344,"version":"3.54.1"},"reference-count":100,"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":[{"name":"Foundation of Key Laboratory of Artificial Intelligence of Ministry of Education","award":["AI202404"],"award-info":[{"award-number":["AI202404"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3587578","type":"journal-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T18:45:54Z","timestamp":1753296354000},"page":"4706-4720","source":"Crossref","is-referenced-by-count":5,"title":["ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9373-1720","authenticated-orcid":false,"given":"Wenfeng","family":"Huang","sequence":"first","affiliation":[{"name":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0181-4140","authenticated-orcid":false,"given":"Guoan","family":"Xu","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0940-3338","authenticated-orcid":false,"given":"Wenjing","family":"Jia","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2794-3178","authenticated-orcid":false,"given":"Stuart","family":"Perry","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3950-1844","authenticated-orcid":false,"given":"Guangwei","family":"Gao","sequence":"additional","affiliation":[{"name":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00268"},{"key":"ref2","first-page":"1","article-title":"Deep retinex decomposition for low-light enhancement","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Chen"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2691802"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican1277-108"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611884"},{"key":"ref6","article-title":"Embedding Fourier for Ultra-High-Definition low-light image enhancement","author":"Li","year":"2023","journal-title":"arXiv:2302.11831"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_28"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3276332"},{"key":"ref9","article-title":"Five a+ network: You only need 9k parameters for underwater image enhancement","author":"Jiang","year":"2023","journal-title":"arXiv:2305.08824"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25147"},{"key":"ref11","article-title":"UIEDP: Underwater image enhancement with diffusion prior","author":"Du","year":"2023","journal-title":"arXiv:2312.06240"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_2"},{"key":"ref13","first-page":"23045","article-title":"Image restoration with mean-reverting stochastic differential equations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Luo"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3229730"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00406"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25364"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3177129"},{"key":"ref19","first-page":"1","article-title":"Selective frequency network for image restoration","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Cui"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00568"},{"key":"ref22","first-page":"30873","article-title":"Unifying image processing as visual prompting question answering","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liu"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02404"},{"key":"ref24","first-page":"1","article-title":"Controlling vision-language models for multi-task image restoration","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Luo"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00402"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72670-5_7"},{"key":"ref27","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020","journal-title":"arXiv:2010.02502"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00958"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73195-2_10"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612378"},{"key":"ref31","first-page":"23207","article-title":"Reconciling stochastic and deterministic strategies for zero-shot image restoration using diffusion model in dual","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Wang"},{"key":"ref32","article-title":"RAD: Region-aware diffusion models for image inpainting","author":"Kim","year":"2024","journal-title":"arXiv:2412.09191"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00169"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00079"},{"key":"ref35","article-title":"Semi-supervised transfer learning for image rain removal","author":"Wei","year":"2018","journal-title":"arXiv:1807.11078"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00860"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00360"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3354108"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67070-2_3"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2895793"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3259393"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00231"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01693"},{"key":"ref48","first-page":"71275","article-title":"PromptIR: Prompting for All-in-One blind image restoration","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Potlapalli"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681575"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3456583"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.129490"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.111223"},{"key":"ref53","article-title":"Any image restoration via efficient spatial-frequency degradation adaptation","author":"Ren","year":"2025","journal-title":"arXiv:2504.14249"},{"key":"ref54","first-page":"7524","article-title":"Vision-language gradient descent-driven all-in-one deep unfolding networks","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Zeng"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2025.3566300"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107038"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2021.116250"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2955241"},{"key":"ref59","article-title":"A fusion adversarial underwater image enhancement network with a public test dataset","author":"Li","year":"2019","journal-title":"arXiv:1906.06819"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2813092"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460552"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974710"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3076367"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.579"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2639450"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2261309"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00701"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00118"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3051462"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01042"},{"key":"ref73","article-title":"Deep retinex decomposition for low-light enhancement","author":"Wei","year":"2018","journal-title":"arXiv:1808.04560"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350926"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.355"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00313"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_30"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01407-x"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3175634"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00555"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3238179"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26313-2_10"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00572"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3256763"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00208"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00710"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01592"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00223"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00288"},{"key":"ref90","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2491020"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.168"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00741"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2024.104066"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.742"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532760"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i6.32716"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/11091531.pdf?arnumber=11091531","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T05:10:11Z","timestamp":1753852211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11091531\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":100,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3587578","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}