{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T13:23:14Z","timestamp":1768569794304,"version":"3.49.0"},"reference-count":74,"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":"publisher","award":["62571250"],"award-info":[{"award-number":["62571250"]}],"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":["62471235"],"award-info":[{"award-number":["62471235"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Frontier Technologies R&D Program of Jiangsu Province","award":["BF2024070"],"award-info":[{"award-number":["BF2024070"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["30925020210"],"award-info":[{"award-number":["30925020210"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Laboratory of Analysis of Mathematical Theory and Modeling of Complex Systems"},{"DOI":"10.13039\/501100006579","name":"Ministry of Industry and Information Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006579","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Imaging"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tci.2025.3650359","type":"journal-article","created":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T18:38:36Z","timestamp":1767292716000},"page":"256-269","source":"Crossref","is-referenced-by-count":0,"title":["Learning Degradation-Aware Diffusion Prior for Hyperspectral Reconstruction From RGB Image"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1234-0614","authenticated-orcid":false,"given":"Jingxiang","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0150-6639","authenticated-orcid":false,"given":"Haifeng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heyuan","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8941-4346","authenticated-orcid":false,"given":"Hongyi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0178-9384","authenticated-orcid":false,"given":"Liang","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.09.006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-020-3084-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3105440"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101812"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2877124"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2924096"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3229439"},{"key":"ref8","article-title":"Learned spectral super-resolution","author":"Galliani","year":"2017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3104476"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102773"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3319069"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3080697"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3056181"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3346929"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3299197"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3361929"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3238506"},{"key":"ref18","first-page":"49703","article-title":"A unified conditional framework for diffusion-based image restoration","volume-title":"Proc. Adv. Neural. Inf. Process. Syst.","volume":"36","author":"Zhang","year":"2023"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00248"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73247-8_5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73414-4_10"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.00652"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02168-7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00129"},{"key":"ref25","article-title":"Recent advances in diffusion models for hyperspectral image processing and analysis: A review","author":"Hu","year":"2025"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00244"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2025.3640863"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00958"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72649-1_13"},{"key":"ref30","first-page":"103031","article-title":"VMamba: Visual state space model","volume-title":"Proc. Adv. Neural. Inf. Process. Syst.","volume":"37","author":"Liu","year":"2024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2025.3530090"},{"key":"ref32","first-page":"62429","article-title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","volume-title":"Proc. Int. Conf. Mach. Learn","author":"Zhu","year":"2024"},{"key":"ref33","article-title":"Dual hyperspectral mamba for efficient spectral compressive imaging","author":"Dong","year":"2024"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3392606"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3104476"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3142258"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3104177"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3434352"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3436715"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6978"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611760"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3521713"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3359852"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3260828"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3290426"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.112374"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02238-w"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3531646"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3143156"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3359232"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3267890"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3471616"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_29"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3335228"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00122"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3300099"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3512371"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3390\/rs16152692"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3450874"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3449073"},{"key":"ref62","article-title":"Learning spectral diffusion prior for hyperspectral image reconstruction","author":"Yu","year":"2025"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3088914"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01688"},{"key":"ref65","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00139"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00219"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2021.3136759"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00027"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00090"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01702"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00267"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2046811"},{"key":"ref74","article-title":"Airborne hyperspectral data over Chikusei","author":"Yokoya","year":"2016"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6745852\/11302051\/11321295.pdf?arnumber=11321295","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T20:51:29Z","timestamp":1768510289000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11321295\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":74,"URL":"https:\/\/doi.org\/10.1109\/tci.2025.3650359","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"value":"2333-9403","type":"electronic"},{"value":"2334-0118","type":"electronic"},{"value":"2573-0436","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]}}}