{"id":"https://openalex.org/W7139114285","doi":"https://doi.org/10.48550/arxiv.2603.17605","title":"ReLaGS: Relational Language Gaussian Splatting","display_name":"ReLaGS: Relational Language Gaussian Splatting","publication_year":2026,"publication_date":"2026-03-18","ids":{"openalex":"https://openalex.org/W7139114285","doi":"https://doi.org/10.48550/arxiv.2603.17605"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.17605","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17605","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.17605","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006467352","display_name":"Yaxu Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xie, Yaxu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104348003","display_name":"Abdalla Arafa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arafa, Abdalla","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077121568","display_name":"Alireza Javanmardi","orcid":"https://orcid.org/0000-0002-4901-5989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javanmardi, Alireza","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022699526","display_name":"Christen Millerdurai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Millerdurai, Christen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550863","display_name":"Jia Cheng Hu","orcid":"https://orcid.org/0009-0008-1611-966X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Jia Cheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107875707","display_name":"Shaoxiang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shaoxiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046969927","display_name":"Alain Pagani","orcid":"https://orcid.org/0000-0002-5136-0837"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pagani, Alain","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129948530","display_name":"Didier Stricker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stricker, Didier","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5006467352"],"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":0.8337000012397766,"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":0.8337000012397766,"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":0.03869999945163727,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.020099999383091927,"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/scene-graph","display_name":"Scene graph","score":0.5353999733924866},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5031999945640564},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4823000133037567},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.45969998836517334},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.39649999141693115},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3709999918937683},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.3686999976634979},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.350600004196167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788000106811523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194999814033508},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.5353999733924866},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4823000133037567},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37130001187324524},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29980000853538513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2919999957084656},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.29159998893737793},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2872999906539917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.27799999713897705},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.17605","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17605","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":"doi:10.48550/arxiv.2603.17605","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17605","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":"article"},"sustainable_development_goals":[{"score":0.541692316532135,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Achieving":[0],"unified":[1],"3D":[2,45,72,84,105],"perception":[3],"and":[4,12,43,92,102,112,124],"reasoning":[5,106],"across":[6,116],"tasks":[7,117],"such":[8],"as":[9,17],"segmentation,":[10,120],"retrieval,":[11],"relation":[13],"understanding":[14],"remains":[15],"challenging,":[16],"existing":[18],"methods":[19],"are":[20],"either":[21],"object-centric":[22],"or":[23],"rely":[24],"on":[25],"costly":[26],"training":[27],"for":[28],"inter-object":[29],"reasoning.":[30,97],"We":[31],"present":[32],"a":[33,38,60],"novel":[34],"framework":[35],"that":[36],"constructs":[37],"hierarchical":[39,110],"language-distilled":[40],"Gaussian":[41,53],"scene":[42,47,57,85,121],"its":[44],"semantic":[46],"graph":[48,86,122],"without":[49],"scene-specific":[50],"training.":[51],"A":[52],"pruning":[54],"mechanism":[55],"refines":[56],"geometry,":[58],"while":[59],"robust":[61],"multi-view":[62],"language":[63],"alignment":[64],"strategy":[65],"aggregates":[66],"noisy":[67],"2D":[68],"features":[69],"into":[70],"accurate":[71],"object":[73],"embeddings.":[74],"On":[75],"top":[76],"of":[77],"this":[78],"hierarchy,":[79],"we":[80],"build":[81],"an":[82],"open-vocabulary":[83,104,119],"with":[87],"Vision":[88],"Language":[89],"derived":[90],"annotations":[91],"Graph":[93],"Neural":[94],"Network-based":[95],"relational":[96],"Our":[98],"approach":[99],"enables":[100],"efficient":[101],"scalable":[103],"by":[107],"jointly":[108],"modeling":[109],"semantics":[111],"inter/intra-object":[113],"relationships,":[114],"validated":[115],"including":[118],"generation,":[123],"relation-guided":[125],"retrieval.":[126],"Project":[127],"page:":[128],"https://dfki-av.github.io/ReLaGS/":[129]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}
