{"id":"https://openalex.org/W7161694016","doi":"https://doi.org/10.48550/arxiv.2605.16745","title":"EVA01: Unified Native 3D Understanding and Generation via Mixture-of-Transformers","display_name":"EVA01: Unified Native 3D Understanding and Generation via Mixture-of-Transformers","publication_year":2026,"publication_date":"2026-05-16","ids":{"openalex":"https://openalex.org/W7161694016","doi":"https://doi.org/10.48550/arxiv.2605.16745"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16745","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16745","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.2605.16745","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042001773","display_name":"Zongyuan Yang","orcid":"https://orcid.org/0000-0003-2067-1875"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zongyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136473161","display_name":"Mingjing Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Mingjing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089771247","display_name":"Wanli Ma","orcid":"https://orcid.org/0000-0002-6172-020X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Wanli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136481190","display_name":"Chenzhuo Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Chenzhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136469764","display_name":"Bocheng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bocheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136462514","display_name":"Baolin Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Baolin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010444077","display_name":"Yuke Lou","orcid":"https://orcid.org/0000-0001-5165-6251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lou, Yuke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110422419","display_name":"Yingde Song","orcid":"https://orcid.org/0009-0005-3776-237X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Yingde","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136498118","display_name":"Yongping Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Yongping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136457765","display_name":"Zhengdong Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Zhengdong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136482489","display_name":"Shimu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shimu","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7681999802589417,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7681999802589417,"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":0.042899999767541885,"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":0.02539999969303608,"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/feature","display_name":"Feature (linguistics)","score":0.550000011920929},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4984000027179718},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4900999963283539},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4519999921321869},{"id":"https://openalex.org/keywords/geometric-modeling","display_name":"Geometric modeling","score":0.39570000767707825},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.37929999828338623},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.35269999504089355},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.34279999136924744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715499997138977},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.550000011920929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5139999985694885},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4984000027179718},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4900999963283539},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30730000138282776},{"id":"https://openalex.org/C103613024","wikidata":"https://www.wikidata.org/wiki/Q230924","display_name":"Stateless protocol","level":3,"score":0.30640000104904175},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16745","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16745","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.2605.16745","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16745","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":{"This":[0,130],"paper":[1],"addresses":[2],"the":[3,43,56,83,106,133,138,142,198],"challenge":[4],"of":[5,55,66,86,137,148,200],"integrating":[6,190],"3D":[7,44,91,195],"meshes":[8],"as":[9,30,46],"a":[10,52,63,78,100,109,115,175],"native":[11,53,161],"modality":[12,45,84,128],"within":[13],"Multimodal":[14],"Large":[15],"Language":[16],"Models":[17],"(MLLMs).":[18],"Diffusion-based":[19],"large":[20],"reconstruction":[21,181],"models":[22,193],"decouple":[23],"semantic":[24,134],"understanding":[25],"from":[26],"geometric":[27,68,143,170],"reasoning,":[28],"operating":[29],"stateless":[31,180],"reconstructors":[32],"conditioned":[33],"on":[34],"dense":[35],"2D":[36,153,191],"pixel":[37],"priors.":[38],"Recent":[39],"MLLM-based":[40],"methods":[41],"treat":[42],"an":[47],"external":[48],"output":[49],"rather":[50],"than":[51],"component":[54],"multimodal":[57,149,202],"sequence,":[58],"making":[59],"incremental":[60],"adaptations":[61],"without":[62,151],"systematic":[64],"analysis":[65],"how":[67],"manifolds":[69],"align":[70],"with":[71,126,141,172,194],"MLLM":[72,139],"feature":[73],"spaces.":[74],"We":[75],"introduce":[76],"EVA01,":[77],"unified":[79],"framework":[80],"that":[81,157],"extends":[82],"boundary":[85],"MLLMs":[87],"to":[88,179],"natively":[89],"incorporate":[90],"mesh":[92],"understanding,":[93],"generation,":[94],"and":[95,114,165],"context-aware":[96],"editing.":[97],"Built":[98],"upon":[99],"Mixture-of-Transformers":[101],"(MoT)":[102],"architecture,":[103],"EVA01":[104,158],"decouples":[105],"model":[107],"into":[108],"pre-trained":[110],"Understanding":[111],"Expert":[112,119],"($E_{\\mathrm{und}}$)":[113],"structurally":[116],"mirrored":[117],"Generation":[118],"($E_{\\mathrm{gen}}$),":[120],"coupled":[121],"through":[122],"shared":[123],"global":[124],"self-attention":[125],"hard":[127],"routing.":[129],"design":[131,199],"aligns":[132],"latent":[135],"space":[136],"backbone":[140],"manifold,":[144],"enabling":[145],"direct":[146],"transfer":[147],"priors":[150],"intermediate":[152],"representations.":[154],"Results":[155],"show":[156],"achieves":[159],"state-of-the-art":[160],"text-to-3D":[162],"generation":[163],"fidelity":[164],"unlocks":[166],"robust":[167],"long-context":[168],"multi-turn":[169],"editing":[171],"identity":[173],"preservation,":[174],"capability":[176],"fundamentally":[177],"inaccessible":[178],"pipelines.":[182],"Our":[183],"findings":[184],"further":[185],"offer":[186],"architectural":[187],"insights":[188],"for":[189],"foundation":[192],"tasks,":[196],"informing":[197],"3D-native":[201],"systems.":[203],"Project":[204],"Page:":[205],"https://www.seeles.ai/research/pages/EVA01":[206]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}