{"id":"https://openalex.org/W4323797370","doi":"https://doi.org/10.1109/access.2023.3254548","title":"MMNeRF: Multi-Modal and Multi-View Optimized Cross-Scene Neural Radiance Fields","display_name":"MMNeRF: Multi-Modal and Multi-View Optimized Cross-Scene Neural Radiance Fields","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323797370","doi":"https://doi.org/10.1109/access.2023.3254548"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3254548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3254548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10064260.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10064260.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010436668","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-1881-5227"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["China Telecom Beijing Research Institute, China Telecom Corporation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1881-5227","affiliations":[{"raw_affiliation_string":"China Telecom Beijing Research Institute, China Telecom Corporation, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017839203","display_name":"Bo Han Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Han Wang","raw_affiliation_strings":["Kwai Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwai Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073505131","display_name":"Ming Chuan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Chuan Yang","raw_affiliation_strings":["China Telecom Beijing Research Institute, China Telecom Corporation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Beijing Research Institute, China Telecom Corporation, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050232974","display_name":"Hang Zou","orcid":"https://orcid.org/0000-0002-0868-5038"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zou","raw_affiliation_strings":["China Telecom Beijing Research Institute, China Telecom Corporation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Beijing Research Institute, China Telecom Corporation, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3191,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54113894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"27401","last_page":"27413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8456428050994873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657631397247314},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.6255060434341431},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5573858618736267},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5452185273170471},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5306574106216431},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5144591331481934},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.49185633659362793},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.45341619849205017},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4442645311355591},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.43687495589256287},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4343870282173157},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.0977637767791748},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0874679684638977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8456428050994873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657631397247314},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.6255060434341431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5573858618736267},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5452185273170471},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5306574106216431},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5144591331481934},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.49185633659362793},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.45341619849205017},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4442645311355591},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.43687495589256287},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4343870282173157},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0977637767791748},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0874679684638977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3254548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3254548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10064260.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cc215861b78b4697a73005251cd042d3","is_oa":true,"landing_page_url":"https://doaj.org/article/cc215861b78b4697a73005251cd042d3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 27401-27413 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3254548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3254548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10064260.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1971719398","https://openalex.org/W2015159529","https://openalex.org/W2063366997","https://openalex.org/W2067132795","https://openalex.org/W2085905957","https://openalex.org/W2098362450","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2263714001","https://openalex.org/W2471962767","https://openalex.org/W2808492412","https://openalex.org/W2962785568","https://openalex.org/W2963604457","https://openalex.org/W2980467688","https://openalex.org/W3034968345","https://openalex.org/W3092948912","https://openalex.org/W3096609285","https://openalex.org/W3109585842","https://openalex.org/W3114462840","https://openalex.org/W3129710562","https://openalex.org/W3134621679","https://openalex.org/W3138516171","https://openalex.org/W3172568571","https://openalex.org/W3176368002","https://openalex.org/W3177583232","https://openalex.org/W3185535223","https://openalex.org/W3186630079","https://openalex.org/W3196466825","https://openalex.org/W3203257492","https://openalex.org/W3204859697","https://openalex.org/W4214628039","https://openalex.org/W4214731463","https://openalex.org/W4304080269","https://openalex.org/W4312286120","https://openalex.org/W4312926441","https://openalex.org/W4312969460","https://openalex.org/W4313007769","https://openalex.org/W4313154783","https://openalex.org/W4313156423","https://openalex.org/W4385245566","https://openalex.org/W4394671432","https://openalex.org/W6687484953","https://openalex.org/W6692964329","https://openalex.org/W6697345971","https://openalex.org/W6763480078","https://openalex.org/W6779610829","https://openalex.org/W6781421651","https://openalex.org/W6784492152","https://openalex.org/W6790649466","https://openalex.org/W6803870738"],"related_works":["https://openalex.org/W2283162247","https://openalex.org/W4212983513","https://openalex.org/W2524507886","https://openalex.org/W2314488738","https://openalex.org/W2052518016","https://openalex.org/W2771653066","https://openalex.org/W2912737833","https://openalex.org/W2048402902","https://openalex.org/W2095660797","https://openalex.org/W3182299699"],"abstract_inverted_index":{"We":[0,99],"present":[1],"MMNeRF,":[2],"a":[3,27,56,101],"simple":[4],"yet":[5,74],"powerful":[6],"learning":[7,16],"framework":[8,134],"for":[9,71,108],"highly":[10],"photo-realistic":[11],"novel":[12],"view":[13,31,154],"synthesis":[14,32,97],"by":[15,129],"Multi-modal":[17],"and":[18,79,88,92,123,144,166,169],"Multi-view":[19],"features":[20,67,76,116,119,128,143],"to":[21,26,46,63,90,105,140,149],"guide":[22],"neural":[23,178],"radiance":[24],"fields":[25],"generic":[28,50],"model.":[29],"Novel":[30],"has":[33,53],"achieved":[34],"great":[35],"improvement":[36],"with":[37,155],"the":[38,48,96,109,121,137,146,152,170],"significant":[39],"success":[40],"of":[41],"NeRF-series":[42],"methods.":[43,111],"However,":[44],"how":[45],"make":[47,106],"method":[49,104],"across":[51],"scenes":[52],"always":[54],"been":[55],"challenging":[57],"task.":[58],"A":[59],"good":[60],"idea":[61],"is":[62],"introduce":[64,114],"2D":[65],"image":[66],"as":[68],"prior":[69],"knowledge":[70],"adaptive":[72],"modeling,":[73],"RGB":[75,118],"lack":[77],"geometry":[78],"3D":[80],"spatial":[81],"information,":[82],"which":[83],"causes":[84],"shape-radiance":[85],"ambiguity":[86],"issues":[87],"lead":[89],"blurry":[91],"low-resolution":[93],"results":[94,171],"in":[95],"images.":[98],"propose":[100],"multi-modal":[102,127],"multi-view":[103,142],"up":[107],"existing":[110],"Specifically,":[112],"we":[113],"depth":[115],"besides":[117],"into":[120],"model":[122],"effectively":[124],"fuse":[125,141],"these":[126],"modality-based":[130],"attention.":[131],"Furthermore,":[132],"Our":[133],"innovatively":[135],"adopts":[136],"transformer":[138,147],"encoder":[139],"uses":[145],"decoder":[148],"adaptively":[150],"incorporate":[151],"target":[153],"global":[156],"memory.":[157],"Extensive":[158],"experiments":[159],"are":[160],"carried":[161],"out":[162],"on":[163],"both":[164],"categories-specific":[165],"category-agnostic":[167],"benchmarks,":[168],"demonstrate":[172],"that":[173],"our":[174],"MMNeRF":[175],"achieves":[176],"state-of-the-art":[177],"rendering":[179],"performance.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}