{"id":"https://openalex.org/W7160305902","doi":"https://doi.org/10.48550/arxiv.2605.02537","title":"Orchestrating Spatial Semantics via a Zone-Graph Paradigm for Intricate Indoor Scene Generation","display_name":"Orchestrating Spatial Semantics via a Zone-Graph Paradigm for Intricate Indoor Scene Generation","publication_year":2026,"publication_date":"2026-05-04","ids":{"openalex":"https://openalex.org/W7160305902","doi":"https://doi.org/10.48550/arxiv.2605.02537"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.02537","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02537","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.2605.02537","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013322069","display_name":"Meisheng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Meisheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135377817","display_name":"Shizhao Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Shizhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135350966","display_name":"Yang Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135342649","display_name":"Ziyuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ziyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135356138","display_name":"Zhijun Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Zhijun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135344663","display_name":"Jiang Bian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bian, Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.4357999861240387,"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":0.4357999861240387,"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":0.10369999706745148,"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":0.0731000006198883,"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/semantics","display_name":"Semantics (computer science)","score":0.5892000198364258},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.4959000051021576},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.4632999897003174},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43220001459121704},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42640000581741333},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.40849998593330383},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.4050999879837036},{"id":"https://openalex.org/keywords/spatial-coherence","display_name":"Spatial coherence","score":0.4020000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336000204086304},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5892000198364258},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.4632999897003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4620000123977661},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43220001459121704},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42640000581741333},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C2985909886","wikidata":"https://www.wikidata.org/wiki/Q193147","display_name":"Spatial coherence","level":3,"score":0.4020000100135803},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3910999894142151},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C11821877","wikidata":"https://www.wikidata.org/wiki/Q187959","display_name":"Distributive property","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.321399986743927},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.27300000190734863}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.02537","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02537","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.2605.02537","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02537","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":0.6900337338447571,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Autonomous":[0],"3D":[1],"indoor":[2,146],"scene":[3],"synthesis":[4,44],"breaks":[5],"down":[6],"in":[7,166],"non-convex":[8],"rooms":[9],"with":[10,82,148],"tightly":[11],"coupled":[12],"spatial":[13,124,151],"constraints.":[14],"Data-driven":[15],"generators":[16],"lack":[17],"topological":[18,63],"priors":[19],"for":[20,144],"long-horizon":[21],"planning,":[22],"while":[23],"iterative":[24],"agents":[25],"fragment":[26],"semantics":[27],"and":[28,62,98,112,138,170],"become":[29],"geometrically":[30],"brittle.":[31],"We":[32,86],"present":[33],"ZoneMaestro,":[34],"a":[35,50,78,141],"unified":[36],"framework":[37],"that":[38,93,156],"shifts":[39],"the":[40,107,132,159],"paradigm":[41],"from":[42],"object-centric":[43],"to":[45,68],"Zone-Graph":[46,84],"Orchestration.":[47],"By":[48],"internalizing":[49],"novel":[51],"zone-based":[52],"logic,":[53],"ZoneMaestro":[54,157],"translates":[55],"high-level":[56],"semantic":[57,110],"intent":[58,171],"into":[59],"functional":[60],"zones":[61],"constraints,":[64],"enabling":[65],"robust":[66],"adaptation":[67],"diverse":[69],"architectural":[70],"forms.":[71],"To":[72,121],"support":[73],"this,":[74],"we":[75,129],"construct":[76],"Zone-Scene-10K,":[77],"large-scale":[79],"dataset":[80],"enriched":[81],"explicit":[83],"annotations.":[85],"further":[87],"introduce":[88],"an":[89],"Alternating":[90],"Alignment":[91],"Strategy":[92],"cycles":[94],"between":[95,109],"reasoning":[96],"internalization":[97],"Zone-Aware":[99],"Group":[100],"Relative":[101],"Policy":[102],"Optimization":[103],"(Z-GRPO),":[104],"effectively":[105],"reconciling":[106],"tension":[108],"richness":[111],"geometric":[113],"validity":[114],"without":[115],"relying":[116],"on":[117],"external":[118],"physics":[119],"engines.":[120],"rigorously":[122],"evaluate":[123],"intelligence":[125],"beyond":[126],"convex":[127],"primitives,":[128],"formally":[130],"define":[131],"task":[133],"of":[134],"Intricate":[135],"Spatial":[136],"Orchestration":[137],"release":[139],"SCALE,":[140],"stress-test":[142],"benchmark":[143],"irregular":[145],"scenarios":[147],"complex,":[149],"dense":[150],"relations.":[152],"Extensive":[153],"experiments":[154],"demonstrate":[155],"resolves":[158],"density-safety":[160],"dichotomy,":[161],"significantly":[162],"outperforming":[163],"state-of-the-art":[164],"baselines":[165],"both":[167],"structural":[168],"coherence":[169],"adherence.":[172]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-06T00:00:00"}