{"id":"https://openalex.org/W4413155486","doi":"https://doi.org/10.1109/cvpr52734.2025.02716","title":"CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design","display_name":"CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413155486","doi":"https://doi.org/10.1109/cvpr52734.2025.02716"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.02716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.02716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021310479","display_name":"Weitao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weitao Feng","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706079","display_name":"Hang Zhou","orcid":"https://orcid.org/0000-0001-5465-1843"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hang Zhou","raw_affiliation_strings":["University of Alberta"],"affiliations":[{"raw_affiliation_string":"University of Alberta","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026216464","display_name":"Jing Liao","orcid":"https://orcid.org/0000-0001-6613-2696"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Liao","raw_affiliation_strings":["City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753413","display_name":"Li Cheng","orcid":"https://orcid.org/0000-0003-3261-3533"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Li Cheng","raw_affiliation_strings":["University of Alberta"],"affiliations":[{"raw_affiliation_string":"University of Alberta","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101821261","display_name":"Wenbo Zhou","orcid":"https://orcid.org/0000-0002-4703-4641"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Zhou","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021310479"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22757582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"29173","last_page":"29182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13518","display_name":"Architecture and Computational Design","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/2216","display_name":"Architecture"},"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/T13518","display_name":"Architecture and Computational Design","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/2216","display_name":"Architecture"},"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/cuboid","display_name":"Cuboid","score":0.9673275947570801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6223089098930359},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4910886287689209},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.3418843746185303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3286106586456299},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19613346457481384},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.11791706085205078}],"concepts":[{"id":"https://openalex.org/C203527163","wikidata":"https://www.wikidata.org/wiki/Q262959","display_name":"Cuboid","level":2,"score":0.9673275947570801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6223089098930359},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4910886287689209},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3418843746185303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3286106586456299},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19613346457481384},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.11791706085205078}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.02716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.02716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6499999761581421,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325651","display_name":"Alberta Innovates","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2009188425","https://openalex.org/W2060268527","https://openalex.org/W2162559028","https://openalex.org/W2552930185","https://openalex.org/W2557269700","https://openalex.org/W2770875015","https://openalex.org/W2798622261","https://openalex.org/W2888764910","https://openalex.org/W2960202457","https://openalex.org/W2963601843","https://openalex.org/W2964339842","https://openalex.org/W2981010689","https://openalex.org/W2982363097","https://openalex.org/W2990222759","https://openalex.org/W3034700465","https://openalex.org/W3095066959","https://openalex.org/W3108720268","https://openalex.org/W3138514142","https://openalex.org/W3138558418","https://openalex.org/W3139355527","https://openalex.org/W3167095230","https://openalex.org/W3170409640","https://openalex.org/W3206060468","https://openalex.org/W4205481600","https://openalex.org/W4214625308","https://openalex.org/W4253028564","https://openalex.org/W4311137692","https://openalex.org/W4317033447","https://openalex.org/W4385526244","https://openalex.org/W4386075912","https://openalex.org/W4388979610","https://openalex.org/W4390873296","https://openalex.org/W4401042987","https://openalex.org/W4402727120","https://openalex.org/W4402753875","https://openalex.org/W4403760883","https://openalex.org/W4403779070"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2387231455","https://openalex.org/W2036512149","https://openalex.org/W2329792127","https://openalex.org/W2388061575","https://openalex.org/W3099045389","https://openalex.org/W2374882918","https://openalex.org/W1991123685"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,21,44,112,154],"novel":[3],"approach":[4,40,140],"for":[5,50,55,67,157],"indoor":[6],"scene":[7,57,107,159],"synthesis,":[8],"which":[9,116],"learns":[10],"to":[11,16,30,77,93],"arrange":[12,79],"decomposed":[13],"cuboid":[14],"primitives":[15],"represent":[17],"3D":[18,37,158],"objects":[19],"within":[20],"scene.":[22],"Unlike":[23],"conventional":[24],"methods":[25],"that":[26,138],"use":[27],"bounding":[28],"boxes":[29],"determine":[31],"the":[32,90,122,129,143,147],"placement":[33],"and":[34,70,105,152],"scale":[35],"of":[36,149],"objects,":[38],"our":[39,100,135,139],"leverages":[41],"cuboids":[42],"as":[43,132,134],"straightforward":[45],"yet":[46],"highly":[47],"effective":[48],"alternative":[49],"modeling":[51],"objects.":[52],"This":[53],"allows":[54],"compact":[56],"generation":[58],"while":[59],"minimizing":[60],"object":[61,98],"intersections.":[62],"Our":[63],"approach,":[64],"coined":[65],"CasaGPT":[66],"Cuboid":[68],"Arrangement":[69],"Scene":[71],"Assembly,":[72],"employs":[73],"an":[74],"autoregressive":[75],"model":[76,101],"sequentially":[78],"cuboids,":[80],"producing":[81],"physically":[82],"plausible":[83],"scenes.":[84],"By":[85],"applying":[86],"rejection":[87],"sampling":[88],"during":[89],"fine-tuning":[91],"stage":[92],"filter":[94],"out":[95],"scenes":[96],"with":[97],"collisions,":[99],"further":[102],"reduces":[103],"intersections":[104],"enhances":[106],"quality.":[108],"Additionally,":[109],"we":[110],"introduce":[111],"refined":[113],"dataset,":[114,124],"3DFRONT-NC,":[115],"eliminates":[117],"significant":[118],"noise":[119],"presented":[120],"in":[121],"original":[123],"3D-FRONT.":[125],"Extensive":[126],"experiments":[127],"on":[128],"3D-FRONT":[130],"dataset":[131,136],"well":[133],"demonstrate":[137],"consistently":[141],"outperforms":[142],"state-of-the-art":[144],"methods,":[145],"enhancing":[146],"realism":[148],"generated":[150],"scenes,":[151],"providing":[153],"promising":[155],"direction":[156],"synthesis.":[160],"Code":[161],"is":[162],"available":[163],"at":[164],"https://github.com/CASAGPT/CASA-GPT":[165]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
