{"id":"https://openalex.org/W4412673699","doi":"https://doi.org/10.1145/3731211","title":"3DGH: 3D Head Generation with Composable Hair and Face","display_name":"3DGH: 3D Head Generation with Composable Hair and Face","publication_year":2025,"publication_date":"2025-07-27","ids":{"openalex":"https://openalex.org/W4412673699","doi":"https://doi.org/10.1145/3731211"},"language":"en","primary_location":{"id":"doi:10.1145/3731211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731211","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","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":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3731211","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063050780","display_name":"Chengan He","orcid":"https://orcid.org/0000-0002-2052-4835"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengan He","raw_affiliation_strings":["Yale University, New Haven, USA"],"raw_orcid":"https://orcid.org/0000-0002-2052-4835","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058084871","display_name":"Junxuan Li","orcid":"https://orcid.org/0000-0003-4375-3443"},"institutions":[{"id":"https://openalex.org/I4210105540","display_name":"Advanced Materials Corporation (United States)","ror":"https://ror.org/01fjnma13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105540"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junxuan Li","raw_affiliation_strings":["Meta Codec Avatars Lab, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0003-4375-3443","affiliations":[{"raw_affiliation_string":"Meta Codec Avatars Lab, Pittsburgh, USA","institution_ids":["https://openalex.org/I4210105540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048779944","display_name":"Tobias Kirschstein","orcid":"https://orcid.org/0009-0002-5308-591X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Kirschstein","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0009-0002-5308-591X","affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027219028","display_name":"Artem Sevastopolsky","orcid":"https://orcid.org/0000-0003-2951-1448"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Artem Sevastopolsky","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2951-1448","affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102959646","display_name":"Shunsuke Saito","orcid":"https://orcid.org/0000-0003-2053-3472"},"institutions":[{"id":"https://openalex.org/I4210105540","display_name":"Advanced Materials Corporation (United States)","ror":"https://ror.org/01fjnma13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105540"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shunsuke Saito","raw_affiliation_strings":["Meta Codec Avatars Lab, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0003-2053-3472","affiliations":[{"raw_affiliation_string":"Meta Codec Avatars Lab, Pittsburgh, USA","institution_ids":["https://openalex.org/I4210105540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087211534","display_name":"Qingyang Tan","orcid":"https://orcid.org/0000-0002-9269-5289"},"institutions":[{"id":"https://openalex.org/I4210147836","display_name":"Collaborative Drug Discovery (United States)","ror":"https://ror.org/04b4sq284","country_code":"US","type":"company","lineage":["https://openalex.org/I4210147836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingyang Tan","raw_affiliation_strings":["Meta Codec Avatars Lab, Burlingame, USA"],"raw_orcid":"https://orcid.org/0000-0002-9269-5289","affiliations":[{"raw_affiliation_string":"Meta Codec Avatars Lab, Burlingame, USA","institution_ids":["https://openalex.org/I4210147836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111863226","display_name":"Javier Romero","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133849","display_name":"Meta4 (Spain)","ror":"https://ror.org/03kevw840","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210133849"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Romero","raw_affiliation_strings":["Meta Codec Avatars Lab, Barcelona, Spain"],"raw_orcid":"https://orcid.org/0009-0000-7921-2679","affiliations":[{"raw_affiliation_string":"Meta Codec Avatars Lab, Barcelona, Spain","institution_ids":["https://openalex.org/I4210133849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101055024","display_name":"Chen Cao","orcid":"https://orcid.org/0000-0001-7992-2814"},"institutions":[{"id":"https://openalex.org/I4210105540","display_name":"Advanced Materials Corporation (United States)","ror":"https://ror.org/01fjnma13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105540"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Cao","raw_affiliation_strings":["Meta Codec Avatars Lab, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0001-7992-2814","affiliations":[{"raw_affiliation_string":"Meta Codec Avatars Lab, Pittsburgh, USA","institution_ids":["https://openalex.org/I4210105540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064638062","display_name":"Holly Rushmeier","orcid":"https://orcid.org/0000-0001-5241-0886"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Holly Rushmeier","raw_affiliation_strings":["Yale University, New Haven, USA"],"raw_orcid":"https://orcid.org/0000-0001-5241-0886","affiliations":[{"raw_affiliation_string":"Yale University, New Haven, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008083611","display_name":"Giljoo Nam","orcid":"https://orcid.org/0000-0002-1822-1501"},"institutions":[{"id":"https://openalex.org/I4210105540","display_name":"Advanced Materials Corporation (United States)","ror":"https://ror.org/01fjnma13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105540"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giljoo Nam","raw_affiliation_strings":["Meta Codec Avatars Lab, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0002-1822-1501","affiliations":[{"raw_affiliation_string":"Meta Codec Avatars Lab, Pittsburgh, USA","institution_ids":["https://openalex.org/I4210105540"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13987699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"4","first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9973999857902527,"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":0.9973999857902527,"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":0.9966999888420105,"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/T12290","display_name":"Human Motion and Animation","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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":0.6603546142578125},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6598407030105591},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4993410110473633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4703291356563568},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.46964022517204285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3692520260810852},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.123403400182724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6603546142578125},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6598407030105591},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4993410110473633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4703291356563568},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.46964022517204285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3692520260810852},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.123403400182724},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731211","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3731211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731211","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2006126326","https://openalex.org/W2031008622","https://openalex.org/W2054725989","https://openalex.org/W2139834586","https://openalex.org/W2164774782","https://openalex.org/W2237250383","https://openalex.org/W2468764576","https://openalex.org/W2736907719","https://openalex.org/W2829134031","https://openalex.org/W2902290465","https://openalex.org/W2962770929","https://openalex.org/W2962974533","https://openalex.org/W2990269423","https://openalex.org/W3023742835","https://openalex.org/W3035574324","https://openalex.org/W3039828778","https://openalex.org/W3106333289","https://openalex.org/W3109585842","https://openalex.org/W3173531806","https://openalex.org/W3176179930","https://openalex.org/W3176288137","https://openalex.org/W3176913662","https://openalex.org/W4232452729","https://openalex.org/W4286611166","https://openalex.org/W4311806224","https://openalex.org/W4312271719","https://openalex.org/W4312283676","https://openalex.org/W4312402191","https://openalex.org/W4312453532","https://openalex.org/W4312686738","https://openalex.org/W4312957735","https://openalex.org/W4313130906","https://openalex.org/W4378174043","https://openalex.org/W4385271220","https://openalex.org/W4385318467","https://openalex.org/W4386075534","https://openalex.org/W4386076528","https://openalex.org/W4388444845","https://openalex.org/W4390873630","https://openalex.org/W4390873658","https://openalex.org/W4399695991","https://openalex.org/W4402727017","https://openalex.org/W4402727213","https://openalex.org/W4402727898","https://openalex.org/W4404199644","https://openalex.org/W4404965741"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"We":[0,104],"present":[1],"3DGH,":[2,114],"an":[3],"unconditional":[4,134],"generative":[5],"model":[6,78,87],"for":[7],"3D":[8,40,66,127,140],"human":[9],"heads":[10],"with":[11,38,69,124],"composable":[12,139],"hair":[13,25,46,83],"and":[14,26,72,84,100,115,120,138],"face":[15],"components.":[16],"Unlike":[17],"previous":[18],"work":[19],"that":[20],"entangles":[21],"the":[22,52,79,110],"modeling":[23],"of":[24,113],"face,":[27],"we":[28,63],"propose":[29],"to":[30,50,77,97,108],"separate":[31],"them":[32],"using":[33,93],"a":[34,65,74],"novel":[35],"data":[36,61],"representation":[37],"template-based":[39],"Gaussian":[41],"Splatting,":[42],"in":[43,133],"which":[44],"deformable":[45],"geometry":[47],"is":[48,88],"introduced":[49],"capture":[51],"geometric":[53],"variations":[54],"across":[55],"different":[56],"hairstyles.":[57],"Based":[58],"on":[59,90,148],"this":[60],"representation,":[62],"design":[64,111],"GAN-based":[67],"architecture":[68],"dual":[70],"generators":[71],"employ":[73],"cross-attention":[75],"mechanism":[76],"inherent":[80],"correlation":[81],"between":[82],"face.":[85],"The":[86],"trained":[89],"synthetic":[91],"renderings":[92],"carefully":[94],"designed":[95],"objectives":[96],"stabilize":[98],"training":[99],"facilitate":[101],"hair-face":[102],"separation.":[103],"conduct":[105],"extensive":[106],"experiments":[107],"validate":[109],"choice":[112],"evaluate":[116],"it":[117],"both":[118],"qualitatively":[119],"quantitatively":[121],"by":[122],"comparing":[123],"several":[125],"state-of-the-art":[126],"GAN":[128],"methods,":[129],"demonstrating":[130],"its":[131],"effectiveness":[132],"full-head":[135],"image":[136],"synthesis":[137],"hairstyle":[141],"editing.":[142],"More":[143],"details":[144],"will":[145],"be":[146],"available":[147],"our":[149],"project":[150],"page:":[151],"https://c-he.github.io/projects/3dgh/.":[152]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}