{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T05:02:03Z","timestamp":1780117323261,"version":"3.54.0"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":"crossref","award":["92470108"],"award-info":[{"award-number":["92470108"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62272363"],"award-info":[{"award-number":["62272363"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Joint Laboratory for Innovation in Satellite-Borne Computers and Electronics Technology Open Fund 2023","doi-asserted-by":"publisher","award":["2024KFKT001-1"],"award-info":[{"award-number":["2024KFKT001-1"]}],"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":[[2026]]},"DOI":"10.1109\/tip.2026.3693121","type":"journal-article","created":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T19:51:49Z","timestamp":1779220309000},"page":"5409-5422","source":"Crossref","is-referenced-by-count":0,"title":["Degradation-Adaptive Denoising: Aligning Diffusion Models With Physics of Video Snapshot Compressive Imaging"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1473-9784","authenticated-orcid":false,"given":"Mingjin","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4571-2946","authenticated-orcid":false,"given":"Mingrui","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6223-5492","authenticated-orcid":false,"given":"Jie","family":"Guo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0234-6270","authenticated-orcid":false,"given":"Yunsong","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3023869"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2989550"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2102.05095"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2933590"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2890017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3163294"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3185529"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00212"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72943-0_7"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3225382"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25111"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3579208"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680648"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3556520"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506316"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49660.2025.10888679"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3533198"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2222899"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3374093"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02138"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51701.2025.01421"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530757"},{"key":"ref23","first-page":"17920","article-title":"SinDDM: A single image denoising diffusion model","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kulikov"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532817"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2024.109660","article-title":"Degradation-aware deep unfolding network with transformer prior for video compressive imaging","volume":"227","author":"Yin","year":"2025","journal-title":"Signal Process."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2544"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2023.3241551"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.109236"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2025.3543766"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_5448"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0628"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00214"},{"key":"ref33","article-title":"Theoretical research on generative diffusion models: An overview","author":"Ye\u011fin","year":"2024","journal-title":"arXiv:2404.09016"},{"key":"ref34","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Dhariwal"},{"key":"ref35","first-page":"11895","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Song"},{"key":"ref36","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023","journal-title":"arXiv:2312.00752"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2025.3610435"},{"key":"ref38","article-title":"Empowering snapshot compressive imaging: Spatial\u2013spectral state space model with across-scanning and local enhancement","author":"Tian","year":"2024","journal-title":"arXiv:2408.00629"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00152"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3099035"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00977"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1364\/PRJ.458231"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01777-y"},{"key":"ref46","article-title":"Dense deep unfolding network with 3D-CNN prior for snapshot compressive imaging","author":"Wu","year":"2021","journal-title":"arXiv:2109.06548"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680561"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3608479"},{"key":"ref49","article-title":"Score-based generative modeling through stochastic differential equations","author":"Song","year":"2020","journal-title":"arXiv:2011.13456"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3204745"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20050-2_35"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01772"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_16"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3461721"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73414-4_10"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/11355710\/11526936.pdf?arnumber=11526936","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T04:21:32Z","timestamp":1780114892000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11526936\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tip.2026.3693121","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}