{"id":"https://openalex.org/W7155165290","doi":"https://doi.org/10.48550/arxiv.2604.19571","title":"TransSplat: Unbalanced Semantic Transport for Language-Driven 3DGS Editing","display_name":"TransSplat: Unbalanced Semantic Transport for Language-Driven 3DGS Editing","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155165290","doi":"https://doi.org/10.48550/arxiv.2604.19571"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.19571","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19571","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.2604.19571","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100777643","display_name":"Yanhui Chen","orcid":"https://orcid.org/0000-0001-6511-1738"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yanhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367188","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-2256-9818"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jiahong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134244400","display_name":"Jingchao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jingchao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134308992","display_name":"Junyi Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Junyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134359635","display_name":"Zixin Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Zixin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134332747","display_name":"Yang Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yang","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":0.39579999446868896,"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":0.39579999446868896,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.18629999458789825,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.046799998730421066,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5544999837875366},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.5200999975204468},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4738999903202057},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.44020000100135803},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42289999127388},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.40720000863075256},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.36579999327659607},{"id":"https://openalex.org/keywords/semantic-interpretation","display_name":"Semantic interpretation","score":0.34619998931884766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8580999970436096},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5544999837875366},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.5200999975204468},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4738999903202057},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43970000743865967},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42289999127388},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36880001425743103},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C193125573","wikidata":"https://www.wikidata.org/wiki/Q7449065","display_name":"Semantic interpretation","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32589998841285706},{"id":"https://openalex.org/C2780967703","wikidata":"https://www.wikidata.org/wiki/Q2571389","display_name":"Collaborative editing","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2969000041484833},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28209999203681946},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.26429998874664307},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.19571","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19571","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.2604.19571","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19571","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":{"Language-driven":[0],"3D":[1,33,73,117,126,132,165],"Gaussian":[2],"Splatting":[3],"(3DGS)":[4],"editing":[5,25,86,104,166,179],"provides":[6],"a":[7,21,61,88,122],"more":[8,62],"convenient":[9],"approach":[10],"for":[11],"modifying":[12],"complex":[13],"scenes":[14],"in":[15,145,177],"VR/AR.":[16],"Standard":[17],"pipelines":[18],"typically":[19],"adopt":[20],"two-stage":[22],"strategy:":[23],"first":[24],"multiple":[26],"2D":[27,70,114],"views,":[28],"and":[29,72,102,116,151,157,181],"then":[30],"optimizing":[31],"the":[32,65,109],"representation":[34],"to":[35,58,129,141],"match":[36],"these":[37],"edited":[38,69,113],"observations.":[39],"Existing":[40],"methods":[41,167],"mainly":[42],"improve":[43],"view":[44,171],"consistency":[45],"through":[46],"multi-view":[47,89],"feature":[48],"fusion,":[49],"attention":[50],"filtering,":[51],"or":[52],"iterative":[53],"recalibration.":[54],"However,":[55],"they":[56],"fail":[57],"explicitly":[59,107],"address":[60],"fundamental":[63],"issue:":[64],"semantic":[66,91,110],"correspondence":[67],"between":[68,99,112],"evidence":[71,115],"Gaussians.":[74,118],"To":[75],"tackle":[76],"this":[77],"problem,":[78],"we":[79,137],"propose":[80],"TransSplat,":[81],"which":[82],"formulates":[83],"language-driven":[84],"3DGS":[85],"as":[87],"unbalanced":[90],"transport":[92,139],"problem.":[93],"Specifically,":[94],"our":[95],"method":[96],"establishes":[97],"correspondences":[98],"visible":[100],"Gaussians":[101],"view-specific":[103],"prototypes,":[105],"thereby":[106],"characterizing":[108],"relationship":[111],"It":[119],"further":[120],"recovers":[121],"cross-view":[123],"shared":[124],"canonical":[125],"edit":[127,149],"field":[128],"guide":[130],"unified":[131],"appearance":[133],"updates.":[134],"In":[135],"addition,":[136],"use":[138],"residuals":[140],"suppress":[142],"erroneous":[143],"edits":[144],"non-target":[146],"regions,":[147],"mitigating":[148],"leakage":[150],"improving":[152],"local":[153,178],"control":[154],"precision.":[155],"Qualitative":[156],"quantitative":[158],"results":[159],"show":[160],"that,":[161],"compared":[162],"with":[163],"existing":[164],"centered":[168],"on":[169],"enhancing":[170],"consistency,":[172],"TransSplat":[173],"achieves":[174],"superior":[175],"performance":[176],"accuracy":[180],"structural":[182],"consistency.":[183]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-23T00:00:00"}