{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:54:52Z","timestamp":1780635292745,"version":"3.54.1"},"reference-count":62,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"IITP","award":["2021-0-01343"],"award-info":[{"award-number":["2021-0-01343"]}]},{"name":"Artificial Intelligence Graduate School Program Seoul National University","award":["2021-0-02068"],"award-info":[{"award-number":["2021-0-02068"]}]},{"name":"Artificial Intelligence Graduate School Program Seoul National University","award":["2023-0-00156"],"award-info":[{"award-number":["2023-0-00156"]}]},{"name":"Industrial Technology Alchemist Project funded by MOTIE, Korea","award":["RS-2024-00432410"],"award-info":[{"award-number":["RS-2024-00432410"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3578393","type":"journal-article","created":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T13:53:00Z","timestamp":1749563580000},"page":"130420-130429","source":"Crossref","is-referenced-by-count":3,"title":["MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5251-9926","authenticated-orcid":false,"given":"Jaeyoung","family":"Chung","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6530-4764","authenticated-orcid":false,"given":"Kanggeon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5702-4618","authenticated-orcid":false,"given":"Sungyong","family":"Baik","sequence":"additional","affiliation":[{"name":"Department of Data Science, Hanyang University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7210-1036","authenticated-orcid":false,"given":"Kyoung","family":"Mu Lee","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Automation and Systems Research Institute (ASRI), Seoul National University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Memory aware synapses: Learning what (not) to forget","volume-title":"Proc. ECCV","author":"Aljundi"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2006.1678144"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00580"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00539"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01804"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.culher.2009.02.006"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01565"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00574"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_33"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01386"},{"key":"ref11","article-title":"Animatable neural radiance fields from monocular RGB videos","author":"Chen","year":"2021","journal-title":"arXiv:2106.13629"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3057446"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00528"},{"key":"ref14","article-title":"COIN: COmpression with implicit neural representations","author":"Dupont","year":"2021","journal-title":"arXiv:2103.03123"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2006.1638022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00854"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01381"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00582"},{"key":"ref20","first-page":"13647","article-title":"Compacting, picking and growing for unforgetting continual learning","volume-title":"Proc. NeurIPS","author":"Hung"},{"key":"ref21","article-title":"Dex-NeRF: Using a neural radiance field to grasp transparent objects","author":"Ichnowski","year":"2021","journal-title":"arXiv:2110.14217"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1561\/0600000079"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00427"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073599"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.791235"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00569"},{"key":"ref29","first-page":"15651","article-title":"Neural sparse voxel fields","volume-title":"Proc. NeurIPS","author":"Liu"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459863"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00695"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_5"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00713"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/2945.468400"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459812"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2015.2463671"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00554"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01405"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01407"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2884462"},{"key":"ref46","article-title":"NeRF-SLAM: Real-time dense monocular SLAM with neural radiance fields","author":"Rosinol","year":"2022","journal-title":"arXiv:2210.13641"},{"key":"ref47","first-page":"7462","article-title":"Implicit neural representations with periodic activation functions","volume-title":"Proc. NeurIPS","author":"Sitzmann"},{"key":"ref48","article-title":"The replica dataset: A digital replica of indoor spaces","author":"Straub","year":"2019","journal-title":"arXiv:1906.05797"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6385773"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00617"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539939"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00287"},{"key":"ref53","first-page":"7537","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","volume-title":"Proc. NeurIPS","author":"Tancik"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00541"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00466"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14505"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00288"},{"key":"ref58","article-title":"Plenoxels: Radiance fields without neural networks","author":"Yu","year":"2021","journal-title":"arXiv:2112.05131"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00455"},{"key":"ref60","first-page":"3987","article-title":"Continual learning through synaptic intelligence","volume-title":"Proc. ICML","author":"Zenke"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00381"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01245"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11029250.pdf?arnumber=11029250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T04:53:07Z","timestamp":1753764787000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11029250\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3578393","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}