{"id":"https://openalex.org/W3213788316","doi":"https://doi.org/10.1145/3472954","title":"High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies","display_name":"High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies","publication_year":2021,"publication_date":"2021-11-09","ids":{"openalex":"https://openalex.org/W3213788316","doi":"https://doi.org/10.1145/3472954","mag":"3213788316"},"language":"en","primary_location":{"id":"doi:10.1145/3472954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472954","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5079937813","display_name":"Linchao Bao","orcid":"https://orcid.org/0000-0001-9543-3754"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linchao Bao","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072770687","display_name":"Xiangkai Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangkai Lin","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632601","display_name":"Yajing Chen","orcid":"https://orcid.org/0000-0002-1624-0741"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Chen","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066359113","display_name":"Haoxian Zhang","orcid":"https://orcid.org/0000-0001-7078-868X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxian Zhang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371324","display_name":"Sheng Wang","orcid":"https://orcid.org/0000-0003-4210-1670"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044236581","display_name":"Xuefei Zhe","orcid":"https://orcid.org/0000-0002-5005-7166"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefei Zhe","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007545410","display_name":"Di Kang","orcid":"https://orcid.org/0000-0002-8996-0897"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Kang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027959479","display_name":"Haozhi Huang","orcid":"https://orcid.org/0000-0003-3925-0237"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haozhi Huang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103009277","display_name":"Xinwei Jiang","orcid":"https://orcid.org/0000-0003-4484-1293"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Jiang","raw_affiliation_strings":["Tencent NExT Studios, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent NExT Studios, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440604","display_name":"Jue Wang","orcid":"https://orcid.org/0000-0002-3641-3136"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jue Wang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034476404","display_name":"Dong Yu","orcid":"https://orcid.org/0000-0003-0520-6844"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Yu","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058849717","display_name":"Zhengyou Zhang","orcid":"https://orcid.org/0000-0002-6606-2525"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyou Zhang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":4.8993,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.96400405,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"41","issue":"1","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9987999796867371,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9944999814033508,"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":0.8682979941368103},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6955713033676147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.681757390499115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6243427395820618},{"id":"https://openalex.org/keywords/intrinsics","display_name":"Intrinsics","score":0.4476895034313202},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4398239552974701},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.43249332904815674},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3909215033054352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8682979941368103},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6955713033676147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.681757390499115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6243427395820618},{"id":"https://openalex.org/C2908650547","wikidata":"https://www.wikidata.org/wiki/Q20999234","display_name":"Intrinsics","level":2,"score":0.4476895034313202},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4398239552974701},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.43249332904815674},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3909215033054352},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3472954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472954","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/8917126f-e289-478e-9e0e-1f6ebcd0e923","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/8917126f-e289-478e-9e0e-1f6ebcd0e923","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bao , L , Lin , X , Chen , Y , Zhang , H , Wang , S , Zhe , X , Kang , D , Huang , H , Jiang , X , Wang , J , Yu , D & Zhang , Z 2022 , ' High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies ' , ACM Transactions on Graphics , vol. 41 , no. 1 , 3 . https://doi.org/10.1145/3472954","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1973757125","https://openalex.org/W1987648924","https://openalex.org/W1987875999","https://openalex.org/W1988874269","https://openalex.org/W1991544872","https://openalex.org/W2004068758","https://openalex.org/W2005157454","https://openalex.org/W2012048984","https://openalex.org/W2013871799","https://openalex.org/W2017107803","https://openalex.org/W2031008622","https://openalex.org/W2039728356","https://openalex.org/W2045766969","https://openalex.org/W2059404013","https://openalex.org/W2063601108","https://openalex.org/W2065533005","https://openalex.org/W2068112287","https://openalex.org/W2075402943","https://openalex.org/W2093425228","https://openalex.org/W2102924784","https://openalex.org/W2107037917","https://openalex.org/W2108432346","https://openalex.org/W2129112648","https://openalex.org/W2134389879","https://openalex.org/W2146566773","https://openalex.org/W2149003305","https://openalex.org/W2153709524","https://openalex.org/W2155211928","https://openalex.org/W2160126058","https://openalex.org/W2235136907","https://openalex.org/W2237250383","https://openalex.org/W2261730354","https://openalex.org/W2310705318","https://openalex.org/W2325939864","https://openalex.org/W2398381847","https://openalex.org/W2431101926","https://openalex.org/W2471370490","https://openalex.org/W2472191845","https://openalex.org/W2475287302","https://openalex.org/W2486034530","https://openalex.org/W2555445683","https://openalex.org/W2555510177","https://openalex.org/W2558708291","https://openalex.org/W2560535660","https://openalex.org/W2584229793","https://openalex.org/W2599226450","https://openalex.org/W2769375465","https://openalex.org/W2771328060","https://openalex.org/W2795709097","https://openalex.org/W2796822548","https://openalex.org/W2803705807","https://openalex.org/W2810089911","https://openalex.org/W2810993953","https://openalex.org/W2893277817","https://openalex.org/W2902290465","https://openalex.org/W2902836694","https://openalex.org/W2903093723","https://openalex.org/W2912459656","https://openalex.org/W2961875503","https://openalex.org/W2962780596","https://openalex.org/W2962860871","https://openalex.org/W2963073614","https://openalex.org/W2963800363","https://openalex.org/W2964014798","https://openalex.org/W2969985801","https://openalex.org/W3034192160","https://openalex.org/W3035413889","https://openalex.org/W3082708265","https://openalex.org/W3097538987","https://openalex.org/W3098614630","https://openalex.org/W3101531717","https://openalex.org/W3136489197","https://openalex.org/W3163659631","https://openalex.org/W4231149888","https://openalex.org/W4233920952","https://openalex.org/W4235375376","https://openalex.org/W4236693702"],"related_works":["https://openalex.org/W1987577928","https://openalex.org/W4387784774","https://openalex.org/W52997880","https://openalex.org/W2499900256","https://openalex.org/W199152256","https://openalex.org/W4311252263","https://openalex.org/W2949166008","https://openalex.org/W2035047744","https://openalex.org/W354384315","https://openalex.org/W1554542406"],"abstract_inverted_index":{"We":[0],"present":[1,154],"a":[2,17,30,42,55,77,87,94,117,155],"fully":[3],"automatic":[4],"system":[5,23,180],"that":[6,64,158,178],"can":[7,40,181],"produce":[8,41,182],"high-fidelity,":[9],"photo-realistic":[10],"three-dimensional":[11],"(3D)":[12],"digital":[13,185],"human":[14,186],"heads":[15],"with":[16,122,172,188],"consumer":[18],"RGB-D":[19,33,111],"selfie":[20,32],"camera.":[21],"The":[22,192],"only":[24],"needs":[25],"the":[26,67,70,74,196],"user":[27],"to":[28,85,105,140,167],"take":[29],"short":[31],"video":[34,76],"while":[35],"rotating":[36],"his/her":[37],"head":[38,44],"and":[39,60,126,162,195],"high-quality":[43,89],"reconstruction":[45],"in":[46],"less":[47],"than":[48,135],"30":[49],"s.":[50],"Our":[51,128],"main":[52,193],"contribution":[53],"is":[54,82,103,201],"new":[56],"facial":[57,107,144],"geometry":[58,145],"modeling":[59],"reflectance":[61,151],"synthesis":[62],"procedure":[63,81],"significantly":[65],"improves":[66],"state":[68],"of":[69,116],"art.":[71],"Specifically,":[72],"given":[73],"input":[75],"two-stage":[78],"frame":[79],"selection":[80],"first":[83],"employed":[84],"select":[86],"few":[88],"frames":[90],"for":[91],"reconstruction.":[92],"Then":[93],"differentiable":[95],"renderer-based":[96],"3D":[97,184],"Morphable":[98],"Model":[99],"(3DMM)":[100],"fitting":[101,161],"algorithm":[102],"applied":[104],"recover":[106,141],"geometries":[108],"from":[109],"multiview":[110],"data,":[112],"which":[113],"takes":[114],"advantages":[115],"powerful":[118],"3DMM":[119,129,199],"basis":[120,200],"constructed":[121,198],"extensive":[123],"data":[124],"generation":[125],"perturbation.":[127],"has":[130],"much":[131],"larger":[132],"expressive":[133],"capacities":[134],"conventional":[136],"3DMM,":[137],"allowing":[138],"us":[139],"more":[142],"accurate":[143],"using":[146],"merely":[147],"linear":[148],"basis.":[149],"For":[150],"synthesis,":[152],"we":[153],"hybrid":[156],"approach":[157],"combines":[159],"parametric":[160],"Convolutional":[163],"Neural":[164],"Networks":[165],"(CNNs)":[166],"synthesize":[168],"high-resolution":[169],"albedo/normal":[170],"maps":[171],"realistic":[173,190],"hair/pore/wrinkle":[174],"details.":[175,191],"Results":[176],"show":[177],"our":[179],"faithful":[183],"faces":[187],"extremely":[189],"code":[194],"newly":[197],"publicly":[202],"available.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
