{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T20:17:46Z","timestamp":1783455466494,"version":"3.55.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China","award":["JYB2025XDXM101"],"award-info":[{"award-number":["JYB2025XDXM101"]}]},{"name":"Tianyuan Fund for Mathematics of the National Natural Science Foundation of China","award":["12426105"],"award-info":[{"award-number":["12426105"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["124B2029"],"award-info":[{"award-number":["124B2029"]}],"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":["62476214"],"award-info":[{"award-number":["62476214"]}],"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":["32430017"],"award-info":[{"award-number":["32430017"]}],"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":["32125009"],"award-info":[{"award-number":["32125009"]}],"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":["12371456"],"award-info":[{"award-number":["12371456"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sichuan Science and Technology Program","award":["2024NSFJQ0038"],"award-info":[{"award-number":["2024NSFJQ0038"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tpami.2026.3679791","type":"journal-article","created":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:12:30Z","timestamp":1775074350000},"page":"9467-9485","source":"Crossref","is-referenced-by-count":0,"title":["Cross-Frequency Implicit Neural Representation With Self-Evolving Parameters"],"prefix":"10.1109","volume":"48","author":[{"given":"Chang","family":"Yu","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9295-4896","authenticated-orcid":false,"given":"Yisi","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2851-6741","authenticated-orcid":false,"given":"Kai","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6540-946X","authenticated-orcid":false,"given":"Xile","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Mathematical Science, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1294-8283","authenticated-orcid":false,"given":"Deyu","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00725"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00604"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00991"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3341688"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00204"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3177134"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00226"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3228287"},{"key":"ref9","first-page":"5162","article-title":"Implicit neural spatial representations for time-dependent PDEs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.01775"},{"key":"ref11","first-page":"7462","article-title":"Implicit neural representations with periodic activation functions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sitzmann"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3464875"},{"key":"ref13","first-page":"7537","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tancik"},{"key":"ref14","first-page":"8571","article-title":"Neural tangent kernel: Convergence and generalization in neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jacot"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72751-1_3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72627-9_15"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01061"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00609"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01120"},{"key":"ref23","first-page":"4805","article-title":"Volume rendering of neural implicit surfaces","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yariv"},{"key":"ref24","first-page":"1121","article-title":"Scene representation networks: Continuous 3D-structure-aware neural scene representations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sitzmann"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00262"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02377"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02455"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72949-2_21"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00264"},{"key":"ref30","article-title":"Local implicit wavelet transformer for arbitrary-scale super-resolution","volume-title":"Proc. 35th Brit. Mach. Vis. Conf.","author":"Duan"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3427370"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"ref33","volume-title":"Wavelets and Subband Coding","author":"Vetterli","year":"2013"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2779539"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00615"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1137\/120874527"},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2629286"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459785"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20050-2_19"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3259640"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01870"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3000349"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3201330"},{"issue":"7","key":"ref45","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.1007\/s11263-020-01303-4","article-title":"Deep image prior","volume":"128","author":"Dmitry","year":"2020","journal-title":"Int. J. Comput. Vis."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3468718"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3229012"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00290"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3357981"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2933555"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2880326"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1137\/24m1664605"},{"key":"ref53","article-title":"Diffusion posterior sampling for general noisy inverse problems","volume-title":"Proc. 11th Int. Conf. Learn. Representations","author":"Chung"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11595778\/11460184.pdf?arnumber=11460184","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T19:44:54Z","timestamp":1783453494000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11460184\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":53,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2026.3679791","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}