{"id":"https://openalex.org/W4415337644","doi":"https://doi.org/10.48550/arxiv.2509.25079","title":"UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generation","display_name":"UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generation","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4415337644","doi":"https://doi.org/10.48550/arxiv.2509.25079"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.25079","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.25079","pdf_url":"https://arxiv.org/pdf/2509.25079","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.25079","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101255785","display_name":"Guanjun Wu","orcid":"https://orcid.org/0009-0009-4784-866X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wu, Guanjun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063536578","display_name":"Jiemin Fang","orcid":"https://orcid.org/0000-0002-0322-4582"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Jiemin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106941187","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0003-2181-7397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114139668","display_name":"Sikuang Li","orcid":"https://orcid.org/0009-0008-4080-7454"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Sikuang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074267001","display_name":"Taoran Yi","orcid":"https://orcid.org/0000-0001-7316-7547"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Taoran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074284350","display_name":"Jia Lu","orcid":"https://orcid.org/0000-0003-3995-324X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Jia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059640107","display_name":"Zanwei Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zanwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070430332","display_name":"Jiazhong Cen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cen, Jiazhong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075290241","display_name":"Lingxi Xie","orcid":"https://orcid.org/0000-0003-4831-9451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Lingxi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112588764","display_name":"Xiaopeng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xiaopeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323752","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-7566-2995"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665053","display_name":"Wenyu Liu","orcid":"https://orcid.org/0000-0002-4582-7488"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Wenyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037191476","display_name":"Xinggang Wang","orcid":"https://orcid.org/0000-0001-6732-7823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xinggang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111504451","display_name":"Qi Tian","orcid":"https://orcid.org/0009-0003-2676-5300"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Qi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5101255785"],"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":0.9991000294685364,"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":0.9991000294685364,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/unified-model","display_name":"Unified Model","score":0.5666000247001648},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.531000018119812},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5157999992370605},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5004000067710876},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4853000044822693},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.44600000977516174},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3846000134944916},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.38040000200271606},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.36550000309944153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7006000280380249},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.531000018119812},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5157999992370605},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5004000067710876},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4853000044822693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544000029563904},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.44600000977516174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3869999945163727},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3846000134944916},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37070000171661377},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C512564126","wikidata":"https://www.wikidata.org/wiki/Q7257959","display_name":"Public records","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.2535000145435333}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.25079","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.25079","pdf_url":"https://arxiv.org/pdf/2509.25079","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.25079","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.25079","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:2509.25079","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.25079","pdf_url":"https://arxiv.org/pdf/2509.25079","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"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":[],"abstract_inverted_index":{"High-fidelity":[0],"3D":[1,11,113,116,149],"asset":[2],"generation":[3],"is":[4,78],"crucial":[5],"for":[6],"various":[7],"industries.":[8],"While":[9],"recent":[10],"pretrained":[12],"models":[13,26],"show":[14],"strong":[15],"capability":[16],"in":[17,66,151],"producing":[18],"realistic":[19],"content,":[20],"most":[21],"are":[22,168],"built":[23],"upon":[24],"diffusion":[25],"and":[27,36,49,64,98,118,161],"follow":[28],"a":[29,41,58,67,79,89,102,127,154],"two-stage":[30],"pipeline":[31],"that":[32,61],"first":[33],"generates":[34],"geometry":[35,63],"then":[37],"synthesizes":[38],"appearance.":[39],"Such":[40],"decoupled":[42],"design":[43],"tends":[44],"to":[45,131],"produce":[46],"geometry-texture":[47],"misalignment":[48],"non-negligible":[50],"cost.":[51],"In":[52],"this":[53,122],"paper,":[54],"we":[55,125],"propose":[56],"UniLat3D,":[57],"unified":[59,123],"framework":[60],"encodes":[62],"appearance":[65,159],"single":[68,128,155],"latent":[69,91],"space,":[70],"enabling":[71],"direct":[72],"single-stage":[73],"generation.":[74],"Our":[75],"key":[76],"contribution":[77],"geometry-appearance":[80],"Unified":[81],"VAE,":[82],"which":[83,106],"compresses":[84],"high-resolution":[85],"sparse":[86],"features":[87],"into":[88,101,111,136],"compact":[90],"representation":[92],"--":[93],"UniLat.":[94],"UniLat":[95],"integrates":[96],"structural":[97],"visual":[99],"information":[100],"dense":[103],"low-resolution":[104],"latent,":[105],"can":[107],"be":[108],"efficiently":[109],"decoded":[110],"diverse":[112],"formats,":[114],"e.g.,":[115],"Gaussians":[117],"meshes.":[119],"Based":[120],"on":[121,143],"representation,":[124],"train":[126],"flow-matching":[129],"model":[130],"map":[132],"Gaussian":[133],"noise":[134],"directly":[135],"UniLat,":[137],"eliminating":[138],"redundant":[139],"stages.":[140],"Trained":[141],"solely":[142],"public":[144],"datasets,":[145],"UniLat3D":[146],"produces":[147],"high-quality":[148],"assets":[150],"seconds":[152],"from":[153],"image,":[156],"achieving":[157],"superior":[158],"fidelity":[160],"geometric":[162],"quality.":[163],"More":[164],"demos":[165],"\\&amp;":[166],"code":[167],"available":[169],"at":[170],"https://unilat3d.github.io/":[171]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-19T00:00:00"}
