{"id":"https://openalex.org/W4402387271","doi":"https://doi.org/10.48550/arxiv.2408.06019","title":"HeadGAP: Few-Shot 3D Head Avatar via Generalizable Gaussian Priors","display_name":"HeadGAP: Few-Shot 3D Head Avatar via Generalizable Gaussian Priors","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4402387271","doi":"https://doi.org/10.48550/arxiv.2408.06019"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2408.06019","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.06019","pdf_url":"https://arxiv.org/pdf/2408.06019","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.06019","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058120492","display_name":"Xiaozheng Zheng","orcid":"https://orcid.org/0000-0001-5758-2089"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zheng, Xiaozheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060470295","display_name":"Chao Wen","orcid":"https://orcid.org/0000-0002-1151-3827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Chao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075705669","display_name":"Zhecheng Li","orcid":"https://orcid.org/0000-0002-3633-1229"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhaohu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109523147","display_name":"Weiyi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Weiyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010794708","display_name":"Zhuo Su","orcid":"https://orcid.org/0000-0002-6448-0651"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, Zhuo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042339174","display_name":"Chang Xu","orcid":"https://orcid.org/0000-0002-5390-0403"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhao, Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108115664","display_name":"Zheng Lv","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lv, Zheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594211","display_name":"Xiaoyuan Zhang","orcid":"https://orcid.org/0000-0002-2462-3953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xiaoyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070298096","display_name":"Yongjie Zhang","orcid":"https://orcid.org/0000-0002-6111-9078"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yongjie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031326978","display_name":"Guidong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Guidong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031723050","display_name":"Lan Xu","orcid":"https://orcid.org/0000-0003-3040-8640"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Lan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5058120492"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9972000122070312,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9972000122070312,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9871000051498413,"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/T12290","display_name":"Human Motion and Animation","score":0.9848999977111816,"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/prior-probability","display_name":"Prior probability","score":0.8488688468933105},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.8309482336044312},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.6563741564750671},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6469646096229553},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5479549765586853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5426183342933655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46559938788414},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.45726996660232544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4510084390640259},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3621922731399536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34188610315322876},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23060253262519836},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.22131189703941345},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.161188542842865},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.12362232804298401},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10789695382118225},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08766388893127441},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.060719072818756104}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8488688468933105},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.8309482336044312},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.6563741564750671},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6469646096229553},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5479549765586853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5426183342933655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46559938788414},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.45726996660232544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4510084390640259},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3621922731399536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34188610315322876},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23060253262519836},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.22131189703941345},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.161188542842865},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.12362232804298401},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10789695382118225},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08766388893127441},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.060719072818756104},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","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/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2408.06019","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.06019","pdf_url":"https://arxiv.org/pdf/2408.06019","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2408.06019","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2408.06019","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2408.06019","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.06019","pdf_url":"https://arxiv.org/pdf/2408.06019","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"In":[0],"this":[1,29],"paper,":[2],"we":[3,37,115],"present":[4],"a":[5,39,58,82],"novel":[6],"3D":[7,53],"head":[8,54,118,135],"avatar":[9,45,65,112,119],"creation":[10,46,66,113],"approach":[11,75],"capable":[12],"of":[13,28,107],"generalizing":[14],"from":[15,57],"few-shot":[16,72,142],"in-the-wild":[17],"data":[18],"with":[19,87,96],"high-fidelity":[20],"and":[21,44,63,124,137,150],"animatable":[22],"robustness.":[23],"Given":[24],"the":[25,64,105,111],"underconstrained":[26],"nature":[27],"problem,":[30],"incorporating":[31],"prior":[32,42,49],"knowledge":[33],"is":[34],"essential.":[35],"Therefore,":[36],"propose":[38],"framework":[40],"comprising":[41],"learning":[43,50],"phases.":[47],"The":[48],"phase":[51,67],"leverages":[52],"priors":[55,70,79,136],"derived":[56],"large-scale":[59],"multi-view":[60,148],"dynamic":[61,89],"dataset,":[62],"applies":[68],"these":[69,78],"for":[71,100],"personalization.":[73],"Our":[74,91],"effectively":[76,133],"captures":[77],"by":[80,121],"utilizing":[81],"Gaussian":[83,108],"Splatting-based":[84],"auto-decoder":[85],"network":[86],"part-based":[88],"modeling.":[90],"method":[92],"employs":[93],"identity-shared":[94],"encoding":[95],"personalized":[97],"latent":[98],"codes":[99],"individual":[101],"identities":[102],"to":[103,141],"learn":[104],"attributes":[106],"primitives.":[109],"During":[110],"phase,":[114],"achieve":[116],"fast":[117],"personalization":[120],"leveraging":[122],"inversion":[123],"fine-tuning":[125],"strategies.":[126],"Extensive":[127],"experiments":[128],"demonstrate":[129],"that":[130],"our":[131],"model":[132],"exploits":[134],"successfully":[138],"generalizes":[139],"them":[140],"personalization,":[143],"achieving":[144],"photo-realistic":[145],"rendering":[146],"quality,":[147],"consistency,":[149],"stable":[151],"animation.":[152]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
