{"id":"https://openalex.org/W7148741772","doi":"https://doi.org/10.48550/arxiv.2604.01972","title":"SDesc3D: Towards Layout-Aware 3D Indoor Scene Generation from Short Descriptions","display_name":"SDesc3D: Towards Layout-Aware 3D Indoor Scene Generation from Short Descriptions","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7148741772","doi":"https://doi.org/10.48550/arxiv.2604.01972"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.01972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01972","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.2604.01972","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132861419","display_name":"Jie Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132882365","display_name":"Jiawei Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Jiawei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121663840","display_name":"Junjia Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Junjia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132919240","display_name":"Junpeng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Junpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132867086","display_name":"Mingtao Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Mingtao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132853458","display_name":"Weisheng Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Weisheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132867712","display_name":"Guanbin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Guanbin","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":0.6460000276565552,"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":0.6460000276565552,"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/T12290","display_name":"Human Motion and Animation","score":0.06270000338554382,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.06019999831914902,"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/relation","display_name":"Relation (database)","score":0.6187999844551086},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.5719000101089478},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.5090000033378601},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4925999939441681},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.4521999955177307},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.44200000166893005},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.4253999888896942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8082000017166138},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6187999844551086},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.5719000101089478},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.5090000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056999921798706},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4925999939441681},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.4521999955177307},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.44200000166893005},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36000001430511475},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3562999963760376},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C2778597888","wikidata":"https://www.wikidata.org/wiki/Q172169","display_name":"3D city models","level":3,"score":0.32019999623298645},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.2632000148296356}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.01972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01972","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.2604.01972","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01972","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":{"3D":[0,15,30,72,93,109,200],"indoor":[1,94,201],"scene":[2,31,95,121,169,202],"generation":[3,96],"conditioned":[4,92,199],"on":[5,54,146,197],"short":[6],"textual":[7,114,127],"descriptions":[8],"provides":[9],"a":[10,90,119,150],"promising":[11],"avenue":[12],"for":[13,21,70,158,181],"interactive":[14],"environment":[16],"construction":[17],"without":[18],"the":[19,68],"need":[20,69],"labor-intensive":[22],"layout":[23,110,152,165],"specification.":[24],"Despite":[25],"recent":[26],"progress":[27],"in":[28,44,76],"text-conditioned":[29],"generation,":[32],"existing":[33,195],"works":[34],"suffer":[35],"from":[36,135],"poor":[37],"physical":[38],"plausibility":[39,184],"and":[40,61,81,103,162,171],"insufficient":[41],"detail":[42],"richness":[43],"such":[45],"semantic":[46,56,137,172],"condensation":[47],"cases,":[48],"largely":[49],"due":[50],"to":[51,107,140,167],"their":[52,62],"reliance":[53],"explicit":[55],"cues":[57,139],"about":[58],"compositional":[59],"objects":[60],"spatial":[63,82,160],"relationships.":[64],"This":[65],"limitation":[66],"highlights":[67],"enhanced":[71],"reasoning":[73,111,166],"capabilities,":[74],"particularly":[75],"terms":[77],"of":[78],"prior":[79,122,143],"integration":[80],"anchoring.":[83],"Motivated":[84],"by":[85],"this,":[86,147],"we":[87,117,148],"propose":[88],"SDesc3D,":[89],"short-text":[91,198],"framework,":[97],"that":[98,124,191],"leverages":[99],"multi-view":[100,131,141],"structural":[101,132,183],"priors":[102],"regional":[104,155],"functionality":[105,156],"implications":[106],"enable":[108],"under":[112],"sparse":[113],"guidance.":[115],"Specifically,":[116],"introduce":[118],"Multi-view":[120],"augmentation":[123],"enriches":[125],"underspecified":[126],"inputs":[128],"with":[129],"aggregated":[130],"knowledge,":[133],"shifting":[134],"inaccessible":[136],"relation":[138],"relational":[142],"aggregation.":[144],"Building":[145],"design":[149],"Functionality-aware":[151],"grounding,":[153],"employing":[154],"grounding":[157],"implicit":[159],"anchors":[161],"conducting":[163],"hierarchical":[164],"enhance":[168],"organization":[170],"plausibility.":[173],"Furthermore,":[174],"an":[175],"Iterative":[176],"reflection-rectification":[177],"scheme":[178],"is":[179],"employed":[180],"progressive":[182],"refinement":[185],"via":[186],"self-rectification.":[187],"Extensive":[188],"experiments":[189],"show":[190],"our":[192],"method":[193],"outperforms":[194],"approaches":[196],"generation.":[203],"Code":[204],"will":[205],"be":[206],"publicly":[207],"available.":[208]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-04T00:00:00"}
