{"id":"https://openalex.org/W4401416350","doi":"https://doi.org/10.1109/cec60901.2024.10611990","title":"Generating Interior Images with Latent User Preferences Through GANs","display_name":"Generating Interior Images with Latent User Preferences Through GANs","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401416350","doi":"https://doi.org/10.1109/cec60901.2024.10611990"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10611990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10611990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","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/A5087068252","display_name":"Kentaro Sakabe","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro Sakabe","raw_affiliation_strings":["Graduate School of Science and Engineering, Doshisha University,Kyoto,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Doshisha University,Kyoto,Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100990919","display_name":"Keiko Ono","orcid":"https://orcid.org/0009-0002-3441-4191"},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiko Ono","raw_affiliation_strings":["Doshisha University,Faculty of Science and Engineering,Kyoto,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Doshisha University,Faculty of Science and Engineering,Kyoto,Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015033965","display_name":"Panagiotis Adamidis","orcid":null},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Adamidis","raw_affiliation_strings":["International Hellenic University,Dept. of Information and Electronic Engineering,Thessaloniki,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Hellenic University,Dept. of Information and Electronic Engineering,Thessaloniki,Greece","institution_ids":["https://openalex.org/I183898223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111284221","display_name":"N. Masuda","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naohiro Masuda","raw_affiliation_strings":["Graduate School of Science and Engineering, Doshisha University,Kyoto,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Doshisha University,Kyoto,Japan","institution_ids":["https://openalex.org/I133984924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6562,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69106255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9492999911308289,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9492999911308289,"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":0.9387000203132629,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.925599992275238,"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/computer-science","display_name":"Computer science","score":0.7450963854789734},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39586061239242554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3941403925418854},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3808329403400421},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35721686482429504},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.353539377450943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450963854789734},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39586061239242554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3941403925418854},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3808329403400421},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35721686482429504},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.353539377450943}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10611990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10611990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W2013145865","https://openalex.org/W2033178790","https://openalex.org/W2098613108","https://openalex.org/W2142623799","https://openalex.org/W2144661611","https://openalex.org/W2918623459","https://openalex.org/W2962770929","https://openalex.org/W2963684088","https://openalex.org/W4205582574","https://openalex.org/W4212863985","https://openalex.org/W6625168331","https://openalex.org/W6685352114","https://openalex.org/W6808794682"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,59,141,168],"emergence":[1],"of":[2,7,16,72,99,112,121,138,143],"vast":[3],"amounts":[4],"and":[5,27,38,51,158],"variety":[6],"data":[8],"on":[9],"the":[10,14,69,88,110,117,136,144,155,165],"internet":[11],"has":[12,104],"driven":[13],"development":[15],"systems":[17],"that":[18,54,162,171,181],"gen-erate":[19],"images":[20,53,133],"tailored":[21],"to":[22,34,67,107,134],"users'":[23],"preferences.":[24,58,114,140],"However,":[25],"extracting":[26],"understanding":[28],"these":[29],"preferences":[30,50],"remains":[31],"challenging":[32],"due":[33],"their":[35],"inherent":[36],"complexity":[37],"ambiguity.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,130],"present":[44],"a":[45,92,151,185],"method":[46,61,89,97,146],"for":[47],"modeling":[48],"user":[49,73,113,139,175],"generating":[52,159],"align":[55],"with":[56,164],"those":[57],"proposed":[60,145],"employs":[62],"Generative":[63],"Adversarial":[64],"Networks":[65],"(GANs)":[66],"learn":[68],"latent":[70,128,156],"space":[71,157],"preference":[74],"information,":[75],"which":[76,103],"is":[77,147],"then":[78],"estimated":[79],"using":[80],"Markov":[81],"Chain":[82],"Monte":[83,95],"Carlo":[84,96],"(MCMC)":[85],"techniques.":[86],"Specifically,":[87],"utilizes":[90],"reRDE-MC,":[91],"replica":[93],"exchange":[94],"capable":[98],"estimating":[100],"multimodal":[101],"distributions,":[102],"been":[105],"shown":[106],"effectively":[108,173],"capture":[109,184],"complexities":[111],"To":[115],"address":[116],"reduced":[118],"sampling":[119],"accuracy":[120],"reRDE-MC":[122,172],"in":[123,154],"high-dimensional":[124],"spaces":[125],"like":[126],"GAN":[127],"spaces,":[129],"group":[131],"generated":[132],"facilitate":[135],"identification":[137],"effectiveness":[142],"validated":[148],"by":[149],"assuming":[150],"preferred":[152],"image":[153,161],"an":[160],"aligns":[163],"user's":[166],"preference.":[167,187],"results":[169],"confirm":[170],"extracts":[174],"preferences,":[176],"unlike":[177],"conventional":[178],"MCMC":[179],"methods":[180],"can":[182],"only":[183],"single":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
