{"id":"https://openalex.org/W4317033447","doi":"https://doi.org/10.1109/tpami.2023.3237577","title":"SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry","display_name":"SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry","publication_year":2023,"publication_date":"2023-01-17","ids":{"openalex":"https://openalex.org/W4317033447","doi":"https://doi.org/10.1109/tpami.2023.3237577","pmid":"https://pubmed.ncbi.nlm.nih.gov/37819798"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3237577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3237577","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100629376","display_name":"Lin Gao","orcid":"https://orcid.org/0000-0002-1021-8148"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Gao","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1021-8148","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027283184","display_name":"Jia-Mu Sun","orcid":"https://orcid.org/0009-0001-4589-8745"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Mu Sun","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051488351","display_name":"Kaichun Mo","orcid":"https://orcid.org/0000-0003-4365-5050"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaichun Mo","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067850699","display_name":"Yu\u2010Kun Lai","orcid":"https://orcid.org/0000-0002-2094-5680"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu-Kun Lai","raw_affiliation_strings":["School of Computer Science & Informatics, Cardiff University, Cardiff, U.K"],"raw_orcid":"https://orcid.org/0000-0002-2094-5680","affiliations":[{"raw_affiliation_string":"School of Computer Science & Informatics, Cardiff University, Cardiff, U.K","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065368881","display_name":"Leonidas Guibas","orcid":"https://orcid.org/0000-0002-8315-4886"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leonidas J. Guibas","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101892130","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-6503-8312"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6503-8312","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100629376"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":9.1841,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.99160069,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"45","issue":"7","first_page":"8902","last_page":"8919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.754684329032898},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.5700129866600037},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5350376963615417},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5155944228172302},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.451865017414093},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4392385184764862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43515220284461975},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4288063049316406},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.42023709416389465},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.40608733892440796},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.3790207505226135},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36184799671173096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3495296835899353},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2743770182132721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754684329032898},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.5700129866600037},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5350376963615417},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5155944228172302},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.451865017414093},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4392385184764862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43515220284461975},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4288063049316406},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.42023709416389465},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.40608733892440796},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.3790207505226135},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36184799671173096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3495296835899353},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2743770182132721},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2023.3237577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3237577","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37819798","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37819798","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:http://orca.cardiff.ac.uk:156938","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:http://orca-dev.cardiff.ac.uk:156938","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/id/eprint/156938/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3755710016","display_name":null,"funder_award_id":"6261136007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W1965027246","https://openalex.org/W1994838542","https://openalex.org/W2035042435","https://openalex.org/W2104518905","https://openalex.org/W2118714046","https://openalex.org/W2119618626","https://openalex.org/W2125101937","https://openalex.org/W2162559028","https://openalex.org/W2509413994","https://openalex.org/W2552930185","https://openalex.org/W2557465155","https://openalex.org/W2560722161","https://openalex.org/W2612843093","https://openalex.org/W2766913266","https://openalex.org/W2768147481","https://openalex.org/W2770875015","https://openalex.org/W2772951942","https://openalex.org/W2798622261","https://openalex.org/W2810181048","https://openalex.org/W2885364117","https://openalex.org/W2888393442","https://openalex.org/W2902539442","https://openalex.org/W2918473435","https://openalex.org/W2922266320","https://openalex.org/W2946420151","https://openalex.org/W2960081125","https://openalex.org/W2960202457","https://openalex.org/W2961368225","https://openalex.org/W2963184176","https://openalex.org/W2963355447","https://openalex.org/W2963400238","https://openalex.org/W2963601843","https://openalex.org/W2964334375","https://openalex.org/W2973965592","https://openalex.org/W2985840885","https://openalex.org/W2987919422","https://openalex.org/W2989341556","https://openalex.org/W2990129662","https://openalex.org/W2990222759","https://openalex.org/W3016025127","https://openalex.org/W3021945924","https://openalex.org/W3034195670","https://openalex.org/W3035108870","https://openalex.org/W3043646502","https://openalex.org/W3048390572","https://openalex.org/W3097660860","https://openalex.org/W3099345087","https://openalex.org/W3107547765","https://openalex.org/W3109125268","https://openalex.org/W3109728105","https://openalex.org/W3118359836","https://openalex.org/W3128687427","https://openalex.org/W3138514142","https://openalex.org/W3139355527","https://openalex.org/W3174497039","https://openalex.org/W3198766663","https://openalex.org/W3206060468","https://openalex.org/W4205481600","https://openalex.org/W4214625308","https://openalex.org/W4214755412","https://openalex.org/W6625758620","https://openalex.org/W6628124331","https://openalex.org/W6631190155","https://openalex.org/W6635797942","https://openalex.org/W6640963894","https://openalex.org/W6676766825","https://openalex.org/W6746238643","https://openalex.org/W6754074526","https://openalex.org/W6765779288","https://openalex.org/W6781705099","https://openalex.org/W6802433375"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2186557420","https://openalex.org/W2044956415","https://openalex.org/W2162375452"],"abstract_inverted_index":{"3D":[0,39,55,108,146],"indoor":[1,40,56,109],"scenes":[2,41,57,110],"are":[3,42,90],"widely":[4],"used":[5],"in":[6],"computer":[7],"graphics,":[8],"with":[9,152,193,230,260],"applications":[10,278],"ranging":[11],"from":[12,118,196],"interior":[13],"design":[14,53],"to":[15,17,52,68,122,128,142,175,226],"gaming":[16],"virtual":[18],"and":[19,36,49,72,80,92,155,172,199,286],"augmented":[20],"reality.":[21],"They":[22],"also":[23,269],"contain":[24],"rich":[25],"information,":[26],"including":[27,149],"room":[28,70,120,147,171,238,282,284,287,291],"layout,":[29,71],"as":[30,32,166,240,280],"well":[31],"furniture":[33,84,150],"type,":[34],"geometry,":[35,154],"placement.":[37],"High-quality":[38],"highly":[43],"demanded":[44],"while":[45],"it":[46],"requires":[47],"expertise":[48],"is":[50,140,213,274],"time-consuming":[51],"high-quality":[54],"manually.":[58],"Existing":[59],"research":[60],"only":[61,265],"addresses":[62],"partial":[63,88,258],"problems:":[64],"some":[65],"works":[66,74],"learn":[67],"generate":[69,144,227],"other":[73],"focus":[75],"on":[76],"generating":[77],"detailed":[78,228],"structure":[79],"geometry":[81,232],"of":[82,257],"individual":[83],"objects.":[85],"However,":[86],"these":[87],"steps":[89,259],"related":[91],"should":[93],"be":[94],"addressed":[95],"together":[96],"for":[97,107,134,233,276],"optimal":[98],"synthesis.":[99],"We":[100,268],"propose":[101],"SceneHGN,":[102],"a":[103,214,234],"hierarchical":[104],"graph":[105],"network":[106,212,218],"that":[111,224,246,263,271],"takes":[112],"into":[113],"account":[114],"the":[115,119,123,129,135,160,170,207,237,241],"full":[116],"hierarchy":[117],"level":[121],"object":[124,130,173],"level,":[125],"then":[126],"finally":[127],"part":[131],"level.":[132,209],"Therefore":[133],"first":[136],"time,":[137],"our":[138,183,247,272],"method":[139,248,273],"able":[141],"directly":[143],"plausible":[145],"content,":[148],"objects":[151],"fine-grained":[153,231],"their":[156],"layout.":[157],"To":[158,180],"address":[159],"challenge,":[161],"we":[162],"introduce":[163],"functional":[164],"regions":[165],"intermediate":[167],"proxies":[168],"between":[169,204],"levels":[174],"make":[176],"learning":[177],"more":[178],"manageable.":[179],"ensure":[181],"plausibility,":[182],"graph-based":[184],"representation":[185],"incorporates":[186],"both":[187],"vertical":[188],"edges":[189,201],"connecting":[190],"child":[191],"nodes":[192,195,205],"parent":[194],"different":[197],"levels,":[198],"horizontal":[200],"encoding":[202],"relationships":[203],"at":[206],"same":[208],"Our":[210],"generation":[211,251,288],"conditional":[215],"recursive":[216],"neural":[217],"(RvNN)":[219],"based":[220],"variational":[221],"autoencoder":[222],"(VAE)":[223],"learns":[225],"content":[229],"room,":[235],"given":[236],"boundary":[239],"condition.":[242],"Extensive":[243],"experiments":[244],"demonstrate":[245,270],"produces":[249],"superior":[250],"results,":[252],"even":[253],"when":[254],"comparing":[255],"results":[256],"alternative":[261],"methods":[262],"can":[264],"achieve":[266],"these.":[267],"effective":[275],"various":[277],"such":[279],"part-level":[281],"editing,":[283],"interpolation,":[285],"by":[289],"arbitrary":[290],"boundaries.":[292]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-10T00:00:00"}