{"id":"https://openalex.org/W7123924121","doi":"https://doi.org/10.48550/arxiv.2601.07660","title":"StdGEN++: A Comprehensive System for Semantic-Decomposed 3D Character Generation","display_name":"StdGEN++: A Comprehensive System for Semantic-Decomposed 3D Character Generation","publication_year":2026,"publication_date":"2026-01-12","ids":{"openalex":"https://openalex.org/W7123924121","doi":"https://doi.org/10.48550/arxiv.2601.07660"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.07660","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.07660","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.2601.07660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072700532","display_name":"Yuze He","orcid":"https://orcid.org/0009-0005-1575-6112"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Yuze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005946513","display_name":"Yanning Zhou","orcid":"https://orcid.org/0000-0001-6104-817X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yanning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122935002","display_name":"Wang Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122923740","display_name":"Jingwen Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Jingwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wu, Zhongkai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhongkai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122937787","display_name":"Ran Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Ran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122914510","display_name":"Yong-Jin Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yong-Jin","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.5011000037193298,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.5011000037193298,"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":0.1876000016927719,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.12039999663829803,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/semantics","display_name":"Semantics (computer science)","score":0.5041000247001648},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.46380001306533813},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.4611000120639801},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45899999141693115},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.45210000872612},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.44530001282691956},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4016999900341034},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.4000999927520752}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680000066757202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5213000178337097},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5041000247001648},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.46380001306533813},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.4611000120639801},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3822000026702881},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35019999742507935},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3070000112056732},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.25839999318122864},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2508000135421753},{"id":"https://openalex.org/C193125573","wikidata":"https://www.wikidata.org/wiki/Q7449065","display_name":"Semantic interpretation","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.07660","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.07660","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.2601.07660","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.07660","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4823158085346222}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"StdGEN++,":[2],"a":[3,46,63,72,88,105,163],"novel":[4,73],"and":[5,37,59,97,119,141,158],"comprehensive":[6],"system":[7],"for":[8,166],"generating":[9],"high-fidelity,":[10],"semantically":[11],"decomposed":[12],"3D":[13,19],"characters":[14],"from":[15],"diverse":[16],"inputs.":[17],"Existing":[18],"generative":[20],"methods":[21,137],"often":[22],"produce":[23],"monolithic":[24],"meshes":[25],"that":[26,110,129],"lack":[27],"the":[28,145],"structural":[29,147],"flexibility":[30],"required":[31],"by":[32,87],"industrial":[33],"pipelines":[34],"in":[35,62,124,138],"gaming":[36],"animation.":[38],"Addressing":[39],"this":[40],"gap,":[41],"StdGEN++":[42,130],"is":[43,85],"built":[44],"upon":[45],"Dual-branch":[47],"Semantic-aware":[48],"Large":[49],"Reconstruction":[50],"Model":[51],"(Dual-Branch":[52],"S-LRM),":[53],"which":[54,92],"jointly":[55],"reconstructs":[56],"geometry,":[57],"color,":[58],"per-component":[60],"semantics":[61],"feed-forward":[64],"manner.":[65],"To":[66],"achieve":[67],"production-level":[68],"fidelity,":[69],"we":[70,103],"introduce":[71],"semantic":[74,122,142],"surface":[75],"extraction":[76],"formalism":[77],"compatible":[78],"with":[79],"hybrid":[80],"implicit":[81],"fields.":[82],"This":[83],"mechanism":[84],"accelerated":[86],"coarse-to-fine":[89],"proposal":[90],"scheme,":[91],"significantly":[93,134],"reduces":[94],"memory":[95],"footprint":[96],"enables":[98],"high-resolution":[99],"mesh":[100],"generation.":[101],"Furthermore,":[102],"propose":[104],"video-diffusion-based":[106],"texture":[107],"decomposition":[108],"module":[109],"disentangles":[111],"appearance":[112],"into":[113],"editable":[114],"layers":[115],"(e.g.,":[116],"separated":[117],"iris":[118],"skin),":[120],"resolving":[121],"confusion":[123],"facial":[125],"regions.":[126],"Experiments":[127],"demonstrate":[128],"achieves":[131],"state-of-the-art":[132],"performance,":[133],"outperforming":[135],"existing":[136],"geometric":[139],"accuracy":[140],"disentanglement.":[143],"Crucially,":[144],"resulting":[146],"independence":[148],"unlocks":[149],"advanced":[150],"downstream":[151],"capabilities,":[152],"including":[153],"non-destructive":[154],"editing,":[155],"physics-compliant":[156],"animation,":[157],"gaze":[159],"tracking,":[160],"making":[161],"it":[162],"robust":[164],"solution":[165],"automated":[167],"character":[168],"asset":[169],"production.":[170]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-01-14T00:00:00"}
