{"id":"https://openalex.org/W4400037512","doi":"https://doi.org/10.3390/jimaging10070156","title":"GOYA: Leveraging Generative Art for Content-Style Disentanglement","display_name":"GOYA: Leveraging Generative Art for Content-Style Disentanglement","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4400037512","doi":"https://doi.org/10.3390/jimaging10070156","pmid":"https://pubmed.ncbi.nlm.nih.gov/39057727"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging10070156","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging10070156","pdf_url":"https://www.mdpi.com/2313-433X/10/7/156/pdf?version=1719409027","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/10/7/156/pdf?version=1719409027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024109802","display_name":"Yankun Wu","orcid":"https://orcid.org/0009-0005-7175-8307"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yankun Wu","raw_affiliation_strings":["Intelligence and Sensing Lab, Osaka University, Suita 565-0871, Osaka, Japan","Intelligence and Sensing Lab, Osaka University, Suita, Osaka 565-0871, Japan"],"raw_orcid":"https://orcid.org/0009-0005-7175-8307","affiliations":[{"raw_affiliation_string":"Intelligence and Sensing Lab, Osaka University, Suita 565-0871, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Intelligence and Sensing Lab, Osaka University, Suita, Osaka 565-0871, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065649079","display_name":"Yuta Nakashima","orcid":"https://orcid.org/0000-0001-8000-3567"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Nakashima","raw_affiliation_strings":["Intelligence and Sensing Lab, Osaka University, Suita 565-0871, Osaka, Japan","Intelligence and Sensing Lab, Osaka University, Suita, Osaka 565-0871, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence and Sensing Lab, Osaka University, Suita 565-0871, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Intelligence and Sensing Lab, Osaka University, Suita, Osaka 565-0871, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028370193","display_name":"Noa Garc\u00eda","orcid":"https://orcid.org/0000-0002-9200-6359"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noa Garcia","raw_affiliation_strings":["Intelligence and Sensing Lab, Osaka University, Suita 565-0871, Osaka, Japan","Intelligence and Sensing Lab, Osaka University, Suita, Osaka 565-0871, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence and Sensing Lab, Osaka University, Suita 565-0871, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Intelligence and Sensing Lab, Osaka University, Suita, Osaka 565-0871, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024109802"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.4935,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59282204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"10","issue":"7","first_page":"156","last_page":"156"},"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":0.9965999722480774,"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":0.9965999722480774,"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/T11309","display_name":"Music and Audio Processing","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9692999720573425,"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":0.7098448276519775},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6625387072563171},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6065419316291809},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.6019708514213562},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44197899103164673},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.36734098196029663},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3236827254295349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2850101888179779},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.13154035806655884},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.12523075938224792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07690709829330444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098448276519775},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6625387072563171},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6065419316291809},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.6019708514213562},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44197899103164673},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.36734098196029663},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3236827254295349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2850101888179779},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.13154035806655884},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.12523075938224792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07690709829330444},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging10070156","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging10070156","pdf_url":"https://www.mdpi.com/2313-433X/10/7/156/pdf?version=1719409027","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:39057727","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39057727","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11278509","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11278509","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:80b702b5c41e4cae9ef5c4a3f2e42ab6","is_oa":false,"landing_page_url":"https://doaj.org/article/80b702b5c41e4cae9ef5c4a3f2e42ab6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 10, Iss 7, p 156 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jimaging10070156","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging10070156","pdf_url":"https://www.mdpi.com/2313-433X/10/7/156/pdf?version=1719409027","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6000000238418579,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400037512.pdf"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W89375283","https://openalex.org/W1686810756","https://openalex.org/W1793977698","https://openalex.org/W2096733369","https://openalex.org/W2161753062","https://openalex.org/W2475287302","https://openalex.org/W2510733224","https://openalex.org/W2555897561","https://openalex.org/W2603777577","https://openalex.org/W2766086266","https://openalex.org/W2791266670","https://openalex.org/W2884238566","https://openalex.org/W2888457764","https://openalex.org/W2894607199","https://openalex.org/W2897923591","https://openalex.org/W2911730156","https://openalex.org/W2911801153","https://openalex.org/W2927066960","https://openalex.org/W2937703861","https://openalex.org/W2945027741","https://openalex.org/W2962837952","https://openalex.org/W2963045453","https://openalex.org/W2963920537","https://openalex.org/W2964332173","https://openalex.org/W2965570799","https://openalex.org/W2973442995","https://openalex.org/W2986779468","https://openalex.org/W2994639901","https://openalex.org/W3005680577","https://openalex.org/W3036167779","https://openalex.org/W3091653824","https://openalex.org/W3101540864","https://openalex.org/W3135367836","https://openalex.org/W3139419286","https://openalex.org/W3159481202","https://openalex.org/W3165647589","https://openalex.org/W3171007011","https://openalex.org/W3171101525","https://openalex.org/W3176292403","https://openalex.org/W3201109205","https://openalex.org/W3204331734","https://openalex.org/W3216156094","https://openalex.org/W4200630668","https://openalex.org/W4214666522","https://openalex.org/W4221164935","https://openalex.org/W4224933323","https://openalex.org/W4226148126","https://openalex.org/W4300979859","https://openalex.org/W4306820534","https://openalex.org/W4312234230","https://openalex.org/W4312438583","https://openalex.org/W4312677692","https://openalex.org/W4312740349","https://openalex.org/W4312805760","https://openalex.org/W4312818263","https://openalex.org/W4312933868","https://openalex.org/W4312977351","https://openalex.org/W4313186669","https://openalex.org/W4362641980","https://openalex.org/W4379261328","https://openalex.org/W4386076098","https://openalex.org/W4390872742","https://openalex.org/W4390873635","https://openalex.org/W4391811740","https://openalex.org/W4399435785","https://openalex.org/W4402716462","https://openalex.org/W4403578038","https://openalex.org/W6631190155","https://openalex.org/W6636751772","https://openalex.org/W6687483927","https://openalex.org/W6767735133","https://openalex.org/W6779823529","https://openalex.org/W6796242362","https://openalex.org/W6849141701"],"related_works":["https://openalex.org/W2356684049","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W3174044702","https://openalex.org/W2967848559"],"abstract_inverted_index":{"The":[0],"content-style":[1],"duality":[2,46],"is":[3],"a":[4,40,58,81,98],"fundamental":[5],"element":[6],"in":[7,25,107,136],"art.":[8,108],"These":[9],"two":[10,118],"dimensions":[11,120],"can":[12],"be":[13],"easily":[14],"differentiated":[15],"by":[16],"humans:":[17],"content":[18,104],"refers":[19],"to":[20,30,42,63,65,115],"the":[21,31,54,75,94,117,125,130],"objects":[22],"and":[23,28,83,105,122],"concepts":[24],"an":[26],"artwork,":[27,60],"style":[29,51,78,106],"way":[32,41,131],"it":[33,61],"looks.":[34],"Yet,":[35],"we":[36],"have":[37],"not":[38,84],"found":[39],"fully":[43],"capture":[44],"this":[45],"with":[47],"visual":[48,55],"representations.":[49],"While":[50],"transfer":[52],"captures":[53,93],"appearance":[56],"of":[57,77,97,124],"single":[59],"fails":[62],"generalize":[64],"larger":[66],"sets.":[67],"Similarly,":[68],"supervised":[69],"classification-based":[70],"methods":[71],"are":[72],"impractical":[73],"since":[74],"perception":[76],"lies":[79],"on":[80,85],"spectrum":[82],"categorical":[86],"labels.":[87],"We":[88],"thus":[89],"present":[90],"GOYA,":[91],"which":[92],"artistic":[95,119,127],"knowledge":[96],"cutting-edge":[99],"generative":[100,134],"model":[101],"for":[102,132],"disentangling":[103],"Experiments":[109],"show":[110],"that":[111],"GOYA":[112],"explicitly":[113],"learns":[114],"represent":[116],"(content":[121],"style)":[123],"original":[126],"image,":[128],"paving":[129],"leveraging":[133],"models":[135],"art":[137],"analysis.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
