{"id":"https://openalex.org/W3192256972","doi":"https://doi.org/10.24963/ijcai.2021/167","title":"Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics","display_name":"Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3192256972","doi":"https://doi.org/10.24963/ijcai.2021/167","mag":"3192256972"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/167","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/167","pdf_url":"https://www.ijcai.org/proceedings/2021/0167.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0167.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051687457","display_name":"Hiromu Yakura","orcid":"https://orcid.org/0000-0002-2558-735X"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromu Yakura","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST)","University of Tsukuba","National Institute of Advanced Industrial Science and Technology (AIST), Japan","University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST)","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049682921","display_name":"Yuki Koyama","orcid":"https://orcid.org/0000-0002-3978-1444"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Koyama","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST)","National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST)","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030650456","display_name":"Masataka Goto","orcid":"https://orcid.org/0000-0003-1167-0977"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masataka Goto","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST)","National Institute of Advanced Industrial Science and Technology (AIST), Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST)","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2864,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59853082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1208","last_page":"1216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9980999827384949,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9980999827384949,"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":0.9922000169754028,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9911999702453613,"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/leverage","display_name":"Leverage (statistics)","score":0.8167915940284729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7943374514579773},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5527641773223877},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5041922330856323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47484734654426575},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4663360118865967},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4197382926940918},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3860247731208801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3788723945617676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0723823606967926}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8167915940284729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7943374514579773},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5527641773223877},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5041922330856323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47484734654426575},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4663360118865967},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4197382926940918},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3860247731208801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3788723945617676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0723823606967926},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/167","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/167","pdf_url":"https://www.ijcai.org/proceedings/2021/0167.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/167","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/167","pdf_url":"https://www.ijcai.org/proceedings/2021/0167.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3775593313","display_name":null,"funder_award_id":"JPMJCR20D4","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G5622405347","display_name":"\u4efb\u610f\u30c4\u30fc\u30eb\u3067\u306e\u30c7\u30b6\u30a4\u30f3\u652f\u63f4\u306e\u305f\u3081\u306eGAN\u3092\u7528\u3044\u305f\u30b5\u30f3\u30d7\u30eb\u6a21\u5023\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af","funder_award_id":"22KJ0353","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338246","display_name":"ACT-X","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3192256972.pdf","grobid_xml":"https://content.openalex.org/works/W3192256972.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1932888261","https://openalex.org/W1964473154","https://openalex.org/W1982500521","https://openalex.org/W2091024890","https://openalex.org/W2103815986","https://openalex.org/W2137665890","https://openalex.org/W2151019861","https://openalex.org/W2161735965","https://openalex.org/W2178863505","https://openalex.org/W2192203593","https://openalex.org/W2405756170","https://openalex.org/W2467604901","https://openalex.org/W2471723840","https://openalex.org/W2604721644","https://openalex.org/W2607626373","https://openalex.org/W2760509339","https://openalex.org/W2792889105","https://openalex.org/W2804013387","https://openalex.org/W2911539289","https://openalex.org/W2959891120","https://openalex.org/W2962750014","https://openalex.org/W2962880888","https://openalex.org/W2962897394","https://openalex.org/W2962947361","https://openalex.org/W2963626105","https://openalex.org/W2963890275","https://openalex.org/W2964078384","https://openalex.org/W2964118024","https://openalex.org/W2983859346","https://openalex.org/W2989149111","https://openalex.org/W2996767743","https://openalex.org/W3023257870","https://openalex.org/W3141437806","https://openalex.org/W4234926462","https://openalex.org/W4289761690","https://openalex.org/W4296979096","https://openalex.org/W4320013936","https://openalex.org/W4385483775"],"related_works":["https://openalex.org/W2356229341","https://openalex.org/W2349768204","https://openalex.org/W4313326281","https://openalex.org/W574867512","https://openalex.org/W2387271333","https://openalex.org/W2787993192","https://openalex.org/W581389233","https://openalex.org/W2361120309","https://openalex.org/W632157940","https://openalex.org/W2387981414"],"abstract_inverted_index":{"Current":[0],"deep":[1,139],"learning":[2,140],"techniques":[3,141],"for":[4,11,96,142],"style":[5,36,59,97,103],"transfer":[6,17,37,98],"would":[7],"not":[8,19],"be":[9],"optimal":[10],"design":[12,22,144],"support":[13],"since":[14],"their":[15],"\"one-shot\"":[16],"does":[18],"fit":[20],"exploratory":[21],"processes.":[23],"To":[24,83],"overcome":[25],"this":[26,53,119],"gap,":[27],"we":[28,86],"propose":[29],"parametric":[30],"transcription,":[31],"which":[32],"transcribes":[33],"an":[34,47,92],"end-to-end":[35],"effect":[38],"into":[39],"parameter":[40],"values":[41],"of":[42,60],"specific":[43],"transformations":[44],"available":[45],"in":[46,64],"existing":[48,93],"content":[49],"editing":[50],"tool.":[51],"With":[52],"approach,":[54],"users":[55],"can":[56,74,136],"imitate":[57],"the":[58,65,81,106,115],"a":[61,88,101],"reference":[62,107],"sample":[63,108],"tool":[66],"that":[67,90,117,133],"they":[68],"are":[69],"familiar":[70],"with":[71,123],"and":[72,109,130],"thus":[73],"easily":[75],"continue":[76],"further":[77],"exploration":[78],"by":[79],"manipulating":[80],"parameters.":[82],"enable":[84],"this,":[85],"introduce":[87],"framework":[89,135],"utilizes":[91],"pretrained":[94],"model":[95],"to":[99,105,113],"calculate":[100],"perceptual":[102],"distance":[104],"uses":[110],"black-box":[111],"optimization":[112],"find":[114],"parameters":[116],"minimize":[118],"distance.":[120],"Our":[121],"experiments":[122],"various":[124],"third-party":[125],"tools,":[126],"such":[127],"as":[128],"Instagram":[129],"Blender,":[131],"show":[132],"our":[134],"effectively":[137],"leverage":[138],"computational":[143],"support.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}