{"id":"https://openalex.org/W7161893162","doi":"https://doi.org/10.48550/arxiv.2605.19727","title":"Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence","display_name":"Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161893162","doi":"https://doi.org/10.48550/arxiv.2605.19727"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.19727","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19727","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.19727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135128448","display_name":"Zebin He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Zebin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136604000","display_name":"Mingxin Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Mingxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136590261","display_name":"Shuhui Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Shuhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100529353","display_name":"Hanxiao Sun","orcid":"https://orcid.org/0009-0006-4108-517X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Hanxiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136571197","display_name":"Xintong Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Xintong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136551135","display_name":"Chunchao Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Chunchao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136535330","display_name":"Wenhan Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Wenhan","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":0.6859999895095825,"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":0.6859999895095825,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.06040000170469284,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.05820000171661377,"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/point-cloud","display_name":"Point cloud","score":0.6841999888420105},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6028000116348267},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5559999942779541},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5006999969482422},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.49889999628067017},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4738999903202057},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.4327999949455261},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.3953000009059906}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6841999888420105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6708999872207642},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6028000116348267},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479000210762024},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.49889999628067017},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4738999903202057},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38440001010894775},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.3808000087738037},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C4668613","wikidata":"https://www.wikidata.org/wiki/Q4116110","display_name":"Structural alignment","level":5,"score":0.3587000072002411},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27959999442100525},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.19727","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19727","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.19727","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19727","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"Existing":[0],"3D":[1,21,62,74,132,149,160],"foundation":[2,43,133],"models":[3],"typically":[4],"align":[5],"point":[6,71],"clouds":[7,72],"to":[8,64,84],"frozen":[9],"vision-language":[10],"spaces":[11],"like":[12],"CLIP,":[13],"which":[14],"achieve":[15,85],"strong":[16],"cross-modal":[17],"retrieval":[18],"by":[19,130],"compressing":[20],"shape":[22],"into":[23,67,73,79,146],"a":[24,42,54,60,80,106,125,137,155],"global":[25,50,91,102,123],"vector.":[26],"However,":[27],"this":[28],"global-only":[29],"alignment":[30,89,119,139],"cannot":[31],"establish":[32],"fine-grained":[33,138],"pixel-to-point":[34,88,118],"correspondence.":[35],"To":[36,94],"solve":[37],"this,":[38],"we":[39,104],"present":[40],"Tango3D,":[41],"model":[44,114],"that":[45],"unifies":[46],"dense":[47,100,159],"correspondence":[48],"and":[49,59,70,90,101],"retrieval.":[51],"We":[52],"use":[53],"geometry-aware":[55],"2D":[56,68],"visual":[57],"backbone":[58],"pretrained":[61],"VAE":[63],"encode":[65],"images":[66],"patches":[69],"tokens.":[75],"These":[76],"are":[77],"mapped":[78],"single":[81],"shared":[82],"space":[83],"both":[86],"local":[87],"semantic":[92],"alignment.":[93],"stabilize":[95],"the":[96,152],"joint":[97,126],"learning":[98],"of":[99,158],"objectives,":[103],"introduce":[105],"three-stage":[107],"progressive":[108],"training":[109],"strategy.":[110],"Experiments":[111],"show":[112],"our":[113],"successfully":[115],"achieves":[116],"object-level":[117],"while":[120],"maintaining":[121],"competitive":[122],"retrieval,":[124],"capability":[127],"not":[128],"offered":[129],"existing":[131],"models.":[134],"By":[135],"establishing":[136],"feature":[140],"space,":[141],"Tango3D":[142],"injects":[143],"rich":[144],"semantics":[145],"purely":[147],"geometric":[148],"tokens,":[150],"paving":[151],"way":[153],"for":[154],"wide":[156],"range":[157],"downstream":[161],"tasks.":[162]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-21T00:00:00"}