{"id":"https://openalex.org/W7161263465","doi":"https://doi.org/10.48550/arxiv.2605.14594","title":"TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation","display_name":"TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161263465","doi":"https://doi.org/10.48550/arxiv.2605.14594"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14594","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14594","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.2605.14594","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136199771","display_name":"Bojun Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Bojun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033184330","display_name":"Zoubin Bi","orcid":"https://orcid.org/0009-0007-9645-8452"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bi, Zoubin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136264187","display_name":"Xinghui Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Xinghui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078940211","display_name":"Yunmu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yunmu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136203081","display_name":"Junchen Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Junchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136262980","display_name":"Jun Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136195003","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-3977-1641"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025303","display_name":"Bowen Cai","orcid":"https://orcid.org/0000-0002-5945-9911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Bowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012429599","display_name":"Huan Fu","orcid":"https://orcid.org/0000-0003-0843-7955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Huan","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":0.7386000156402588,"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":0.7386000156402588,"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":0.1973000019788742,"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":0.039799999445676804,"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/polygon-mesh","display_name":"Polygon mesh","score":0.7541000247001648},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.6621000170707703},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5540000200271606},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.49129998683929443},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47839999198913574},{"id":"https://openalex.org/keywords/volume-mesh","display_name":"Volume mesh","score":0.46140000224113464},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.45730000734329224},{"id":"https://openalex.org/keywords/skinning","display_name":"Skinning","score":0.4560999870300293},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4424000084400177}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.7541000247001648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026000022888184},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.6621000170707703},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5540000200271606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515999794006348},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4968000054359436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4918999969959259},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C170589453","wikidata":"https://www.wikidata.org/wiki/Q7940896","display_name":"Volume mesh","level":4,"score":0.46140000224113464},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C2777685762","wikidata":"https://www.wikidata.org/wiki/Q780654","display_name":"Skinning","level":2,"score":0.4560999870300293},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4424000084400177},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.4212000072002411},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3449999988079071},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.32670000195503235},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C2780549717","wikidata":"https://www.wikidata.org/wiki/Q3409626","display_name":"Human head","level":3,"score":0.30640000104904175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27880001068115234},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C156135169","wikidata":"https://www.wikidata.org/wiki/Q5535522","display_name":"Geometry and topology","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14594","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14594","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.2605.14594","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14594","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":[{"score":0.7021665573120117,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"High-fidelity":[0],"3D":[1,59,77,232,243],"head":[2,28,60,98,148,175,233],"generation":[3,61],"plays":[4],"a":[5,22,32,38,52,101,122,166,178,201],"crucial":[6],"role":[7],"in":[8],"the":[9,139,154,195,213],"film,":[10],"animation":[11],"and":[12,34,44,66,87,93,217,241],"video":[13],"game":[14],"industries.":[15],"In":[16,46,73],"industrial":[17],"pipelines,":[18],"studios":[19],"typically":[20],"enforce":[21],"fixed":[23],"reference":[24,156],"topology":[25,36,86],"across":[26,109],"all":[27,110],"assets,":[29],"as":[30],"such":[31,69],"clean":[33],"uniform":[35],"is":[37],"prerequisite":[39],"for":[40,55,250],"production-level":[41],"rigging,":[42],"skinning":[43],"animation.":[45],"this":[47,117],"paper,":[48],"we":[49,120,164],"present":[50,183],"TOPOS,":[51],"framework":[53],"tailored":[54],"single":[56,179],"image":[57,198,203],"conditioned":[58],"that":[62,188,226],"jointly":[63],"recovers":[64],"geometry":[65,216],"appearance":[67,221],"under":[68,116],"an":[70,185],"industry-standard":[71],"topology.":[72,157],"contrast":[74],"to":[75,142,171],"general":[76,242],"generative":[78,204,245],"models":[79,134],"which":[80],"produce":[81],"triangle":[82],"meshes":[83,99,149,176],"with":[84,100,212],"inconsistent":[85],"numerous":[88],"vertices,":[89],"hindering":[90],"semantic":[91],"correspondence":[92,108],"asset-level":[94],"reuse,":[95],"TOPOS":[96,227],"generates":[97],"fixed,":[102],"studio-style":[103],"topology,":[104,119],"enabling":[105],"consistent":[106],"vertex-level":[107],"generated":[111,207],"heads.":[112],"To":[113],"model":[114],"heads":[115],"unified":[118],"proposed":[121],"novel":[123],"variational":[124],"autoencoder":[125],"structure,":[126],"termed":[127],"TOPOS-VAE.":[128],"Inspired":[129],"by":[130],"multi-model":[131],"large":[132],"language":[133],"(MLLMs),":[135],"our":[136],"TOPOS-VAE":[137],"leverages":[138],"Perceiver":[140],"Resampler":[141],"convert":[143],"input":[144],"pointclouds":[145],"sampled":[146],"from":[147,177,194],"of":[150],"diverse":[151],"topologies":[152],"into":[153],"target":[155],"Building":[158],"upon":[159],"TOPOS-VAE's":[160],"structured":[161],"latent":[162],"space,":[163],"train":[165],"rectified":[167],"flow":[168],"transformer,":[169],"TOPOS-DiT,":[170],"efficiently":[172],"generate":[173],"high-fidelity":[174],"image.":[180],"We":[181],"further":[182],"TOPOS-Texture,":[184],"end-to-end":[186],"module":[187],"produces":[189],"relightable":[190],"UV":[191],"texture":[192],"maps":[193],"same":[196],"portrait":[197],"via":[199],"fine-tuning":[200],"multimodal":[202],"model.":[205],"The":[206],"textures":[208],"are":[209],"spatially":[210],"aligned":[211],"underlying":[214],"mesh":[215],"faithfully":[218],"preserve":[219],"high-frequency":[220],"details.":[222],"Extensive":[223],"experiments":[224],"demonstrate":[225],"achieves":[228],"state-of-the-art":[229],"performance":[230],"on":[231],"generation,":[234],"surpassing":[235],"both":[236],"classical":[237],"face":[238],"reconstruction":[239],"methods":[240],"object":[244],"models,":[246],"highlighting":[247],"its":[248],"effectiveness":[249],"digital":[251],"human":[252],"creation.":[253]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}
