{"id":"https://openalex.org/W4393149758","doi":"https://doi.org/10.1609/aaai.v38i5.28229","title":"ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field","display_name":"ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field","publication_year":2024,"publication_date":"2024-03-24","ids":{"openalex":"https://openalex.org/W4393149758","doi":"https://doi.org/10.1609/aaai.v38i5.28229"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v38i5.28229","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i5.28229","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/28229/28453","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/28229/28453","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032273272","display_name":"Zhangkai Ni","orcid":"https://orcid.org/0000-0003-3682-6288"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhangkai Ni","raw_affiliation_strings":["Tongji University"],"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101218544","display_name":"Peiqi Yang","orcid":"https://orcid.org/0009-0007-1720-7912"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiqi Yang","raw_affiliation_strings":["Tongji University"],"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Peng Cheng Laboratory"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058982350","display_name":"Hanli Wang","orcid":"https://orcid.org/0000-0002-9999-4871"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanli Wang","raw_affiliation_strings":["Tongji University"],"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017116858","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-7331-6132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Meituan"],"affiliations":[{"raw_affiliation_string":"Meituan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["City Univeristy of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City Univeristy of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032273272"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":1.4968,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82438017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"38","issue":"5","first_page":"4325","last_page":"4333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9379000067710876,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9379000067710876,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.900297999382019},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6127858757972717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4948651194572449},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.45216453075408936},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4356173276901245},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41707438230514526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33732932806015015},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1886129379272461},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17686283588409424}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.900297999382019},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6127858757972717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4948651194572449},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.45216453075408936},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4356173276901245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41707438230514526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33732932806015015},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1886129379272461},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17686283588409424},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v38i5.28229","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i5.28229","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/28229/28453","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v38i5.28229","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i5.28229","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/28229/28453","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5199999809265137,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393149758.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2331836163","https://openalex.org/W1994657804","https://openalex.org/W2005276308","https://openalex.org/W1970182911","https://openalex.org/W2157702764","https://openalex.org/W2508448752"],"abstract_inverted_index":{"Neural":[0,65],"Radiance":[1,66],"Fields":[2,67],"(NeRF)":[3],"have":[4],"demonstrated":[5],"impressive":[6],"potential":[7],"in":[8,77,119,153,162,214],"synthesizing":[9],"novel":[10,61,101,192],"views":[11,109],"from":[12,107,166],"dense":[13],"input,":[14],"however,":[15],"their":[16],"effectiveness":[17],"is":[18,47,131,176,237],"challenged":[19],"when":[20],"dealing":[21],"with":[22,72],"sparse":[23,73,83,204],"input.":[24,74],"Existing":[25],"approaches":[26],"that":[27,104,200],"incorporate":[28],"additional":[29],"depth":[30],"or":[31],"semantic":[32],"supervision":[33,45],"can":[34],"alleviate":[35],"this":[36],"issue":[37],"to":[38,70,115,133,156,218,225],"an":[39],"extent.":[40],"However,":[41],"the":[42,63,80,88,91,94,140,167,170,191],"process":[43],"of":[44,93,143,149,178,190],"collection":[46],"not":[48],"only":[49],"costly":[50],"but":[51],"also":[52],"potentially":[53],"inaccurate.":[54],"In":[55],"our":[56,210],"work,":[57],"we":[58,98,146],"introduce":[59,147],"a":[60,100],"model:":[62],"Collaborative":[64,125],"(ColNeRF)":[68],"designed":[69],"work":[71],"The":[75],"collaboration":[76,168],"ColNeRF":[78,175,201],"includes":[79],"cooperation":[81,89],"among":[82,90],"input":[84,171,205],"source":[85],"images":[86],"and":[87,110,122,137,159,172,181],"output":[92,173],"NeRF.":[95],"Through":[96],"this,":[97],"construct":[99],"collaborative":[102],"module":[103,129],"aligns":[105],"information":[106],"various":[108],"meanwhile":[111],"imposes":[112],"self-supervised":[113],"constraints":[114],"ensure":[116,157],"multi-view":[117],"consistency":[118,161],"both":[120],"geometry":[121],"appearance.":[123],"A":[124],"Cross-View":[126],"Volume":[127],"Integration":[128],"(CCVI)":[130],"proposed":[132],"capture":[134],"complex":[135],"occlusions":[136],"implicitly":[138],"infer":[139],"spatial":[141],"location":[142],"objects.":[144],"Moreover,":[145],"self-supervision":[148],"target":[150],"rays":[151],"projected":[152],"multiple":[154],"directions":[155],"geometric":[158],"color":[160],"adjacent":[163],"regions.":[164],"Benefiting":[165],"at":[169],"ends,":[174],"capable":[177],"capturing":[179],"richer":[180],"more":[182],"generalized":[183],"scene":[184],"representation,":[185],"thereby":[186],"facilitating":[187],"higher-quality":[188],"results":[189,198],"view":[193],"synthesis.":[194],"Our":[195,235],"extensive":[196],"experimental":[197],"demonstrate":[199],"outperforms":[202],"state-of-the-art":[203],"generalizable":[206],"NeRF":[207],"methods.":[208],"Furthermore,":[209],"approach":[211],"exhibits":[212],"superiority":[213],"fine-tuning":[215],"towards":[216],"adapting":[217],"new":[219],"scenes,":[220],"achieving":[221],"competitive":[222],"performance":[223],"compared":[224],"per-scene":[226],"optimized":[227],"NeRF-based":[228],"methods":[229],"while":[230],"significantly":[231],"reducing":[232],"computational":[233],"costs.":[234],"code":[236],"available":[238],"at:":[239],"https://github.com/eezkni/ColNeRF.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}