{"id":"https://openalex.org/W2770875015","doi":"https://doi.org/10.1145/3130800.3130805","title":"Adaptive synthesis of indoor scenes via activity-associated object relation graphs","display_name":"Adaptive synthesis of indoor scenes via activity-associated object relation graphs","publication_year":2017,"publication_date":"2017-11-20","ids":{"openalex":"https://openalex.org/W2770875015","doi":"https://doi.org/10.1145/3130800.3130805","mag":"2770875015"},"language":"en","primary_location":{"id":"doi:10.1145/3130800.3130805","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3130800.3130805","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholars.cityu.edu.hk/en/publications/adaptive-synthesis-of-indoor-scenes-via-activity-associated-objec","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102908728","display_name":"Qiang Fu","orcid":"https://orcid.org/0000-0002-8944-8981"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Fu","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101579465","display_name":"Xiaowu Chen","orcid":"https://orcid.org/0000-0002-3976-6500"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowu Chen","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110288381","display_name":"Xiaotian Wang","orcid":"https://orcid.org/0009-0001-4872-6754"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotian Wang","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050941958","display_name":"Sijia Wen","orcid":"https://orcid.org/0000-0001-7032-5474"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijia Wen","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103014592","display_name":"Bin Zhou","orcid":"https://orcid.org/0000-0003-2091-1090"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616579","display_name":"Hongbo Fu","orcid":"https://orcid.org/0000-0002-0284-726X"},"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":"Hongbo Fu","raw_affiliation_strings":["City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102908728"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":19.9141,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.99409815,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"36","issue":"6","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9868999719619751,"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":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7993049621582031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7902442216873169},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7416728734970093},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6750376224517822},{"id":"https://openalex.org/keywords/floor-plan","display_name":"Floor plan","score":0.6227210760116577},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.6218181252479553},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6126790642738342},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5537397861480713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4899820387363434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4761778712272644},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.476013720035553},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.46281492710113525},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4356820583343506},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.18888145685195923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16566506028175354},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13235586881637573}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7993049621582031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902442216873169},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7416728734970093},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6750376224517822},{"id":"https://openalex.org/C61056293","wikidata":"https://www.wikidata.org/wiki/Q18965","display_name":"Floor plan","level":2,"score":0.6227210760116577},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.6218181252479553},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6126790642738342},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5537397861480713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4899820387363434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4761778712272644},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.476013720035553},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.46281492710113525},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4356820583343506},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.18888145685195923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16566506028175354},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13235586881637573},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3130800.3130805","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3130800.3130805","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"is_oa":true,"landing_page_url":"https://scholars.cityu.edu.hk/en/publications/adaptive-synthesis-of-indoor-scenes-via-activity-associated-objec","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"FU, Q, CHEN, X, WANG, X, WEN, S, ZHOU, B & FU, H 2017, 'Adaptive Synthesis of Indoor Scenes via Activity-Associated Object Relation Graphs', ACM Transactions on Graphics, vol. 36, no. 6, 201. https://doi.org/10.1145/3130800.3130805","raw_type":"article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-138444","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-138444","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:pure.atira.dk:publications/24826048-43b6-4954-bf58-0d55880fb997","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/24826048-43b6-4954-bf58-0d55880fb997","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"FU, Q, CHEN, X, WANG, X, WEN, S, ZHOU, B & FU, H 2017, 'Adaptive Synthesis of Indoor Scenes via Activity-Associated Object Relation Graphs', ACM Transactions on Graphics, vol. 36, no. 6, 201. https://doi.org/10.1145/3130800.3130805","raw_type":"article"}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://scholars.cityu.edu.hk/en/publications/adaptive-synthesis-of-indoor-scenes-via-activity-associated-objec","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"FU, Q, CHEN, X, WANG, X, WEN, S, ZHOU, B & FU, H 2017, 'Adaptive Synthesis of Indoor Scenes via Activity-Associated Object Relation Graphs', ACM Transactions on Graphics, vol. 36, no. 6, 201. https://doi.org/10.1145/3130800.3130805","raw_type":"article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1252128270","display_name":null,"funder_award_id":"7004915","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G1418274833","display_name":null,"funder_award_id":"61532003, 61325011, 61421003, 61502023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1698529903","https://openalex.org/W1965027246","https://openalex.org/W1967720527","https://openalex.org/W1987266124","https://openalex.org/W1992971572","https://openalex.org/W2012785966","https://openalex.org/W2013595374","https://openalex.org/W2015466769","https://openalex.org/W2032165333","https://openalex.org/W2033648651","https://openalex.org/W2038728278","https://openalex.org/W2044032519","https://openalex.org/W2046643606","https://openalex.org/W2060268527","https://openalex.org/W2065745355","https://openalex.org/W2069609891","https://openalex.org/W2077263423","https://openalex.org/W2106943820","https://openalex.org/W2130634053","https://openalex.org/W2145429668","https://openalex.org/W2149846167","https://openalex.org/W2162559028","https://openalex.org/W2469269585","https://openalex.org/W2552930185","https://openalex.org/W2950110812","https://openalex.org/W3138164102","https://openalex.org/W3138514142","https://openalex.org/W3138558418","https://openalex.org/W3139355527"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"We":[0,67,166,186],"present":[1],"a":[2,16,33,69,183],"system":[3,124,190],"for":[4,83],"adaptive":[5],"synthesis":[6,169],"of":[7,63,71,106,163,175,203],"indoor":[8,22],"scenes":[9,149],"given":[10],"an":[11,29],"empty":[12,30],"room":[13,31,118],"and":[14,24,53,79,91,101,119,131,152,178,196,206],"only":[15],"few":[17],"object":[18,54,77,107,112,121,128,140],"categories.":[19],"Automatically":[20],"suggesting":[21],"objects":[23],"proper":[25],"layouts":[26],"to":[27,32,44,58,75,109,136,146,159,171],"convert":[28],"3D":[34],"scene":[35,84,198],"is":[36],"challenging,":[37],"since":[38],"it":[39],"requires":[40],"interior":[41],"design":[42],"knowledge":[43],"balance":[45],"the":[46,60,64,87,98,103,116,127,132,143,155,161,173,192],"factors":[47],"like":[48],"space,":[49],"path":[50],"distance,":[51],"illumination":[52],"relations,":[55],"in":[56,93,201],"order":[57],"insure":[59],"functional":[61,204],"plausibility":[62,205],"synthesized":[65,164],"scenes.":[66,165],"exploit":[68],"database":[70,133],"2D":[72],"floor":[73,134],"plans":[74,135],"extract":[76],"relations":[78,100],"provide":[80],"layout":[81,162,195],"examples":[82],"synthesis.":[85],"With":[86],"labeled":[88],"human":[89],"positions":[90],"directions":[92],"each":[94],"plan,":[95],"we":[96],"detect":[97],"activity":[99],"compute":[102],"coexistence":[104],"frequency":[105],"pairs":[108],"construct":[110],"activity-associated":[111],"relation":[113,129],"graphs.":[114],"Given":[115],"input":[117],"user-specified":[120],"categories,":[122],"our":[123,176,189],"first":[125],"leverages":[126],"graphs":[130],"suggest":[137],"more":[138],"potential":[139],"categories":[141],"beyond":[142],"specified":[144],"ones":[145],"make":[147],"resulting":[148],"functionally":[150],"complete,":[151],"then":[153],"uses":[154],"similar":[156],"plan":[157],"references":[158],"create":[160],"show":[167],"various":[168],"results":[170],"demonstrate":[172],"practicability":[174],"system,":[177],"validate":[179],"its":[180],"usability":[181],"via":[182],"user":[184,207],"study.":[185],"also":[187],"compare":[188],"with":[191],"state-of-the-art":[193],"furniture":[194],"activity-centric":[197],"representation":[199],"methods,":[200],"terms":[202],"friendliness.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}