{"id":"https://openalex.org/W7154627800","doi":"https://doi.org/10.48550/arxiv.2604.13856","title":"Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image","display_name":"Any3DAvatar: Fast and High-Quality Full-Head 3D Avatar Reconstruction from Single Portrait Image","publication_year":2026,"publication_date":"2026-04-15","ids":{"openalex":"https://openalex.org/W7154627800","doi":"https://doi.org/10.48550/arxiv.2604.13856"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.13856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13856","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.13856","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129681605","display_name":"Yujie Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yujie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050536257","display_name":"Yao Xiao","orcid":"https://orcid.org/0000-0002-5317-8799"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Yao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028586750","display_name":"Xiangnan Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Xiangnan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133811594","display_name":"Ya Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133818950","display_name":"Yiyi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yiyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133735726","display_name":"Liqing Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Liqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133758945","display_name":"Jianfu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jianfu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7128000259399414,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7128000259399414,"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/T11448","display_name":"Face recognition and analysis","score":0.16419999301433563,"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":0.024900000542402267,"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/rendering","display_name":"Rendering (computer graphics)","score":0.5827000141143799},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.5763000249862671},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4453999996185303},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.42250001430511475},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41110000014305115},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.40849998593330383},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.34779998660087585},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3330000042915344},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.33169999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235000133514404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6646999716758728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6516000032424927},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5827000141143799},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.5763000249862671},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.47940000891685486},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2842000126838684},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.13856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13856","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.13856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13856","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"a":[1,6,16,49,65,82,120,135],"complete":[2,36],"3D":[3,56,123,156],"head":[4,58,67,102],"from":[5,119],"single":[7,136],"portrait":[8],"remains":[9],"challenging":[10],"because":[11],"existing":[12,101],"methods":[13,177],"still":[14],"face":[15],"sharp":[17],"quality-speed":[18],"trade-off:":[19],"high-fidelity":[20,74],"pipelines":[21],"often":[22],"rely":[23],"on":[24,150],"multi-stage":[25],"processing":[26],"and":[27,38,51,76,93,108,126],"per-subject":[28],"optimization,":[29],"while":[30,72,139,181],"fast":[31,50],"feed-forward":[32],"models":[33],"struggle":[34],"with":[35],"geometry":[37,75],"fine":[39],"appearance":[40,148],"details.":[41],"To":[42],"bridge":[43],"this":[44],"gap,":[45],"we":[46,79,117,144],"propose":[47],"Any3DAvatar,":[48],"high-quality":[52],"method":[53],"for":[54],"single-image":[55,174],"Gaussian":[57,124,157],"avatar":[59],"generation,":[60],"whose":[61],"fastest":[62],"setting":[63],"reconstructs":[64],"full":[66],"in":[68,104,178],"under":[69],"one":[70],"second":[71],"preserving":[73],"texture.":[77],"First,":[78],"build":[80],"AnyHead,":[81],"unified":[83],"data":[84,103],"suite":[85],"that":[86,170],"combines":[87],"identity":[88],"diversity,":[89],"dense":[90],"multi-view":[91],"supervision,":[92],"realistic":[94],"accessories,":[95],"filling":[96],"the":[97,151],"main":[98],"gaps":[99],"of":[100],"coverage,":[105],"full-head":[106,132,175],"geometry,":[107],"complex":[109],"appearance.":[110],"Second,":[111],"rather":[112],"than":[113],"sampling":[114],"unstructured":[115],"noise,":[116],"initialize":[118],"Pl\u00fccker-aware":[121],"structured":[122],"scaffold":[125],"perform":[127],"one-step":[128],"conditional":[129],"denoising,":[130],"formulating":[131],"reconstruction":[133,176],"into":[134],"forward":[137],"pass":[138],"retaining":[140],"high":[141],"fidelity.":[142],"Third,":[143],"introduce":[145],"auxiliary":[146],"view-conditioned":[147],"supervision":[149],"same":[152],"latent":[153],"tokens":[154],"alongside":[155],"reconstruction,":[158],"improving":[159],"novel-view":[160],"texture":[161],"details":[162],"at":[163],"zero":[164],"extra":[165],"inference":[166],"cost.":[167],"Experiments":[168],"show":[169],"Any3DAvatar":[171],"outperforms":[172],"prior":[173],"rendering":[179],"fidelity":[180],"remaining":[182],"substantially":[183],"faster.":[184]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-17T00:00:00"}
