{"id":"https://openalex.org/W4295308256","doi":"https://doi.org/10.1109/tpami.2022.3205910","title":"MPS-NeRF: Generalizable 3D Human Rendering From Multiview Images","display_name":"MPS-NeRF: Generalizable 3D Human Rendering From Multiview Images","publication_year":2022,"publication_date":"2022-09-12","ids":{"openalex":"https://openalex.org/W4295308256","doi":"https://doi.org/10.1109/tpami.2022.3205910","pmid":"https://pubmed.ncbi.nlm.nih.gov/36094968"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3205910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3205910","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102890606","display_name":"Xiangjun Gao","orcid":"https://orcid.org/0009-0003-6177-4413"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Gao","raw_affiliation_strings":["Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076804411","display_name":"Jiaolong Yang","orcid":"https://orcid.org/0000-0002-7314-6567"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaolong Yang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7314-6567","affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102916130","display_name":"Jongyoo Kim","orcid":"https://orcid.org/0000-0002-2435-9195"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jongyoo Kim","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2435-9195","affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073087748","display_name":"Sida Peng","orcid":"https://orcid.org/0000-0001-6546-4525"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sida Peng","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-6546-4525","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101728117","display_name":"Zicheng Liu","orcid":"https://orcid.org/0000-0001-5894-7828"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zicheng Liu","raw_affiliation_strings":["Microsoft Azure AI, Redmond, WA, USA","Microsoft Azure AI, Redmond, USA"],"raw_orcid":"https://orcid.org/0000-0001-5894-7828","affiliations":[{"raw_affiliation_string":"Microsoft Azure AI, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Azure AI, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100784734","display_name":"Xin Tong","orcid":"https://orcid.org/0000-0001-8788-2453"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tong","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8788-2453","affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.569,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.9596661,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"47","issue":"8","first_page":"6110","last_page":"6121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9979000091552734,"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":0.9979000091552734,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128087520599365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7699195742607117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7075866460800171},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5624250769615173},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5582754611968994},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.5311015248298645},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.46940934658050537},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3155258595943451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128087520599365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7699195742607117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7075866460800171},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5624250769615173},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5582754611968994},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.5311015248298645},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.46940934658050537},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3155258595943451}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3205910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3205910","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:36094968","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36094968","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W1993962870","https://openalex.org/W2026058811","https://openalex.org/W2044618760","https://openalex.org/W2101032778","https://openalex.org/W2109752307","https://openalex.org/W2110434318","https://openalex.org/W2113148808","https://openalex.org/W2122572959","https://openalex.org/W2194775991","https://openalex.org/W2221659194","https://openalex.org/W2483862638","https://openalex.org/W2532511219","https://openalex.org/W2573098616","https://openalex.org/W2886799640","https://openalex.org/W2887586359","https://openalex.org/W2901584762","https://openalex.org/W2962849139","https://openalex.org/W2963515833","https://openalex.org/W2963627347","https://openalex.org/W2963907666","https://openalex.org/W2963926543","https://openalex.org/W2978956737","https://openalex.org/W2981637078","https://openalex.org/W2981978060","https://openalex.org/W2991621301","https://openalex.org/W3034757648","https://openalex.org/W3035186639","https://openalex.org/W3035291735","https://openalex.org/W3035492592","https://openalex.org/W3035678981","https://openalex.org/W3094502228","https://openalex.org/W3109585842","https://openalex.org/W3114462840","https://openalex.org/W3119105168","https://openalex.org/W3153220274","https://openalex.org/W3176327543","https://openalex.org/W3176368002","https://openalex.org/W3186630079","https://openalex.org/W3202037070","https://openalex.org/W3202432020","https://openalex.org/W3202627061","https://openalex.org/W3202804820","https://openalex.org/W3203570626","https://openalex.org/W4200502498","https://openalex.org/W4214625585","https://openalex.org/W4214628039","https://openalex.org/W4214731463","https://openalex.org/W4233857083","https://openalex.org/W4236667477","https://openalex.org/W4312728108","https://openalex.org/W4312891300","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6763480078","https://openalex.org/W6784476946","https://openalex.org/W6801663392","https://openalex.org/W6802751092","https://openalex.org/W6803167047","https://openalex.org/W6805332276"],"related_works":["https://openalex.org/W2371381961","https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2215755978","https://openalex.org/W2106647072","https://openalex.org/W4246858109","https://openalex.org/W2172753644","https://openalex.org/W54172855"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"rapid":[3],"progress":[4],"recently":[5],"on":[6,18,31,159,181],"3D":[7,155],"human":[8,121,156],"rendering,":[9],"including":[10],"novel":[11,51,54,189],"view":[12,190],"synthesis":[13,191],"and":[14,34,53,104,122,139,142,148,184,192],"pose":[15,193],"animation,":[16],"based":[17],"the":[19,134,153,160,165,188,198],"advances":[20],"of":[21,120,200],"neural":[22],"radiance":[23,147],"fields":[24],"(NeRF).":[25],"However,":[26],"most":[27],"existing":[28],"methods":[29],"focus":[30],"person-specific":[32],"training":[33,36],"their":[35],"typically":[37],"requires":[38],"multi-view":[39],"videos.":[40,70],"This":[41],"article":[42],"deals":[43],"with":[44,87,137,175,187],"a":[45,57,76,84,97,101,105,110],"new":[46],"challenging":[47],"task":[48],"-":[49],"rendering":[50],"views":[52],"poses":[55],"for":[56,146],"person":[58],"unseen":[59],"in":[60,171],"training,":[61],"using":[62],"only":[63],"multiview":[64,88],"still":[65],"images":[66,89,141,162],"as":[67,90],"input":[68,138,161],"without":[69],"For":[71],"this":[72],"task,":[73],"we":[74],"propose":[75],"simple":[77],"yet":[78],"surprisingly":[79],"effective":[80],"method":[81,115],"to":[82,116,125,132,163],"train":[83],"generalizable":[85],"NeRF":[86,103],"conditional":[91],"input.":[92],"The":[93,179],"key":[94],"ingredient":[95],"is":[96,130],"dedicated":[98],"representation":[99],"combining":[100],"canonical":[102,111,135,177],"volume":[106],"deformation":[107,129],"scheme.":[108],"Using":[109],"space":[112,136],"enables":[113],"our":[114,176,201],"learn":[117],"shared":[118],"properties":[119],"easily":[123],"generalize":[124],"different":[126],"people.":[127],"Volume":[128],"used":[131],"connect":[133],"target":[140],"query":[143],"image":[144],"features":[145],"density":[149],"prediction.":[150],"We":[151],"leverage":[152],"parametric":[154],"model":[157],"fitted":[158],"derive":[164],"deformation,":[166],"which":[167],"works":[168],"quite":[169],"well":[170],"practice":[172],"when":[173],"combined":[174],"NeRF.":[178],"experiments":[180],"both":[182],"real":[183],"synthetic":[185],"data":[186],"animation":[194],"tasks":[195],"collectively":[196],"demonstrate":[197],"efficacy":[199],"method.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":12}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
