{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T17:45:13Z","timestamp":1755798313861,"version":"3.44.0"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"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":["62031013"],"award-info":[{"award-number":["62031013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Province Key Construction Discipline Scientific Research Capacity Improvement Project","award":["2022ZDJS117"],"award-info":[{"award-number":["2022ZDJS117"]}]},{"DOI":"10.13039\/100018919","name":"Peng Cheng Laboratory","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018919","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tce.2025.3565495","type":"journal-article","created":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T13:32:30Z","timestamp":1747315950000},"page":"5666-5675","source":"Crossref","is-referenced-by-count":0,"title":["Lightweight Width-Depth Scalable Implicit Neural Representation for Progressive Image Compression"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2473-4976","authenticated-orcid":false,"given":"Qingyu","family":"Mao","sequence":"first","affiliation":[{"name":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}]},{"given":"Wenming","family":"Wang","sequence":"additional","affiliation":[{"name":"Chengdu Yuanwang Science &#x0026; Technology Co., Ltd., Chengdu, China"}]},{"given":"Yongsheng","family":"Liang","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}]},{"given":"Chenhu","family":"Xiao","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5725-2178","authenticated-orcid":false,"given":"Fanyang","family":"Meng","sequence":"additional","affiliation":[{"name":"Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0651-4278","authenticated-orcid":false,"given":"Gwanggil","family":"Jeon","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3380017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3300534"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/30.920468"},{"volume-title":"BPG image format.","year":"2014","author":"Bellard","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2013.6490261"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2016.7514716"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2021.3065636"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2011.5955186"},{"key":"ref9","article-title":"End-to-end optimized image compression","author":"Ball\u00e9","year":"2016","journal-title":"arXiv:1611.01704"},{"key":"ref10","article-title":"Variational image compression with a scale hyperprior","author":"Ball\u00e9","year":"2018","journal-title":"arXiv:1802.01436"},{"key":"ref11","first-page":"2629","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Minnen"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3065339"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3263099"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1117\/12.2633475"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3445737"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2022.3232478"},{"key":"ref17","article-title":"COIN: Compression with implicit neural representations","author":"Dupont","year":"2021","journal-title":"arXiv:2103.03123"},{"key":"ref18","first-page":"21557","article-title":"NERV: Neural representations for videos","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Chen"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747208"},{"key":"ref20","article-title":"Implicit neural video compression","author":"Zhang","year":"2021","journal-title":"arXiv:2112.11312"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/30.125072"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2004.839611"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_5"},{"key":"ref24","article-title":"COIN++: Neural compression across modalities","author":"Dupont","year":"2022","journal-title":"arXiv:2201.12904"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/DCC55655.2023.00029"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_34"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00852"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01775"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00209"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_36"},{"key":"ref32","first-page":"10136","article-title":"MetaSDF: Meta-learning signed distance functions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Sitzmann"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref34","article-title":"Progressively-connected light field network for efficient view synthesis","author":"Wang","year":"2022","journal-title":"arXiv:2207.04465"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00287"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095531"},{"key":"ref37","article-title":"Slimmable neural networks","author":"Yu","year":"2018","journal-title":"arXiv:1812.08928"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00189"},{"key":"ref39","article-title":"Progressive neural networks","author":"Rusu","year":"2016","journal-title":"arXiv:1606.04671"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01577"},{"key":"ref41","article-title":"PINs: Progressive implicit networks for multi-scale neural representations","author":"Landgraf","year":"2022","journal-title":"arXiv:2202.04713"},{"key":"ref42","first-page":"8550","article-title":"Residual multiplicative filter networks for multiscale reconstruction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Shekarforoush"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01606"},{"key":"ref44","first-page":"7462","article-title":"Implicit neural representations with periodic activation functions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Sitzmann"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.l803.03635"},{"key":"ref46","first-page":"342","article-title":"The shattered gradients problem: If RESNETs are the answer, then what is the question?","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Balduzzi"},{"key":"ref47","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn"},{"volume-title":"Kodak lossless true color image suite.","year":"1999","author":"Franzen","key":"ref48"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01564"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3229701"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106361"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3216713"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01697"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/30\/11128999\/10979971.pdf?arnumber=10979971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T04:42:14Z","timestamp":1755578534000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10979971\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":55,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tce.2025.3565495","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"type":"print","value":"0098-3063"},{"type":"electronic","value":"1558-4127"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}