{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T17:02:22Z","timestamp":1770742942177,"version":"3.49.0"},"reference-count":99,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"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":["62061136007"],"award-info":[{"award-number":["62061136007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Municipal Natural Science Foundation","award":["JQ21013"],"award-info":[{"award-number":["JQ21013"]}]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,7,1]]},"DOI":"10.1109\/tpami.2022.3232502","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T18:28:52Z","timestamp":1672165732000},"page":"8713-8728","source":"Crossref","is-referenced-by-count":22,"title":["Neural Radiance Fields From Sparse RGB-D Images for High-Quality View Synthesis"],"prefix":"10.1109","volume":"45","author":[{"given":"Yu-Jie","family":"Yuan","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2094-5680","authenticated-orcid":false,"given":"Yu-Kun","family":"Lai","sequence":"additional","affiliation":[{"name":"School of Computer Science &#x0026; Informatics, Cardiff University, Cardiff, U.K."}]},{"given":"Yi-Hua","family":"Huang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Leif","family":"Kobbelt","sequence":"additional","affiliation":[{"name":"Institute for Computer Graphics and Multimedia, RWTH Aachen University, Aachen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1021-8148","authenticated-orcid":false,"given":"Lin","family":"Gao","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1117\/12.386541"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2003.07.001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14022"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3323020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_31"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/964965.808594"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01254"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383309"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141964"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2487228.2487238"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130828"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2982420"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00787"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_37"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01204"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_42"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201401"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3323035"},{"key":"ref21","first-page":"2492","article-title":"Multiview neural surface reconstruction by disentangling geometry and appearance","volume":"33","author":"Yariv","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00356"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00427"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237200"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237199"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710766"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201292"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00026"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322980"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_11"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3203192"},{"key":"ref33","first-page":"15651","article-title":"Neural sparse voxel fields","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00643"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00930"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14340"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01018"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01272"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00580"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00541"},{"key":"ref41","first-page":"20154","article-title":"GRAF: Generative radiance fields for 3D-aware image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Schwarz"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00466"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01386"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00536"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00537"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01408"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00570"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00582"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01407"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19824-3_20"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00538"},{"key":"ref53","article-title":"Neural reflectance fields for appearance acquisition","author":"Bi","year":"2020"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01245"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00741"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00572"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01781"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01780"},{"key":"ref59","first-page":"597","article-title":"NeuMesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Bao"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19827-4_10"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00894"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00571"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3476576.3476729"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00854"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01156"},{"key":"ref66","article-title":"Neural volume rendering: NeRF and beyond","author":"Dellaert","year":"2020"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00239"},{"key":"ref68","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":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00455"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00583"},{"key":"ref71","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford"},{"key":"ref72","first-page":"26289","article-title":"T\u00f6rf: Time-of-flight radiance fields for dynamic scene view synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Attal"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00540"},{"key":"ref74","article-title":"Deep line art video colorization with a few references","author":"Shi","year":"2022","journal-title":"IEEE Trans. Vis. Comput. Graphics"},{"key":"ref75","first-page":"3637","article-title":"Matching networks for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vinyals"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref77","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00935"},{"key":"ref79","first-page":"15 885","article-title":"Few-shot image generation with elastic weight consolidation","volume":"33","author":"Li","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref80","first-page":"7559","article-title":"Differentiable augmentation for data-efficient GAN training","volume":"33","author":"Zhao","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref81","first-page":"12 104","article-title":"Training generative adversarial networks with limited data","volume":"33","author":"Karras","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref82","first-page":"938","article-title":"Few-shot neural human performance rendering from sparse RGBD videos","volume-title":"Proc. 30th Int. Joint Conf. Artif. Intell.","author":"Anqi"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01060"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00629"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073641"},{"key":"ref86","article-title":"Open3D: A modern library for 3D data processing","author":"Zhou","year":"2018"},{"key":"ref87","first-page":"61","article-title":"Poisson surface reconstruction","volume-title":"Proc. 4th Eurograph. Symp. Geometry Process.","author":"Kazhdan"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1145\/2487228.2487237"},{"key":"ref89","first-page":"1","article-title":"Efficient sparse voxel octrees\u2013analysis, extensions, and implementation","volume":"2","author":"Laine","year":"2010","journal-title":"NVIDIA Corporation"},{"key":"ref90","first-page":"33","article-title":"Essential ray tracing algorithms","volume-title":"An Introduction to Ray Tracing","author":"Haines","year":"1989"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01490"},{"key":"ref93","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2015"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref96","article-title":"NeRF++: Analyzing and improving neural radiance fields","author":"Zhang","year":"2020"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00556"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.338"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00186"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10144448\/09999509.pdf?arnumber=9999509","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T19:53:53Z","timestamp":1719345233000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9999509\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,1]]},"references-count":99,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3232502","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":[[2023,7,1]]}}}