{"id":"https://openalex.org/W4312251388","doi":"https://doi.org/10.1109/access.2022.3230759","title":"Asymmetric Two-Stage CycleGAN for Generation of Faces With Shadow Puppet Style","display_name":"Asymmetric Two-Stage CycleGAN for Generation of Faces With Shadow Puppet Style","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312251388","doi":"https://doi.org/10.1109/access.2022.3230759"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3230759","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3230759","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09992216.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09992216.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072498979","display_name":"Jingzhou Huang","orcid":"https://orcid.org/0000-0001-6413-556X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingzhou Huang","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China","School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049613894","display_name":"Xiaofang Huang","orcid":"https://orcid.org/0000-0002-1210-7580"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Huang","raw_affiliation_strings":["College of Art and Communication, China Jiliang University, Hangzhou, China","College of Art and Communication, China Jiliang University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"College of Art and Communication, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"College of Art and Communication, China Jiliang University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022284646","display_name":"Taixiang Zhang","orcid":"https://orcid.org/0000-0002-4819-6271"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taixiang Zhang","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China","School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102931814","display_name":"Jingchao Jiang","orcid":"https://orcid.org/0000-0002-0446-3454"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchao Jiang","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China","School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050272143","display_name":"Houpan Zhou","orcid":"https://orcid.org/0009-0009-0682-8013"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houpan Zhou","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China","School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072498979"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3057,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55985335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"132863","last_page":"132874"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9979000091552734,"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":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.696906328201294},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6796445846557617},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.6157571077346802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5639057159423828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32898592948913574},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.20346909761428833},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14693737030029297},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0937509834766388},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.08127003908157349}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.696906328201294},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6796445846557617},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6157571077346802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5639057159423828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32898592948913574},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.20346909761428833},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14693737030029297},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0937509834766388},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.08127003908157349},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3230759","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3230759","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09992216.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a7bbe031e90e4357ac4bf3e77e637387","is_oa":true,"landing_page_url":"https://doaj.org/article/a7bbe031e90e4357ac4bf3e77e637387","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 132863-132874 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3230759","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3230759","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09992216.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3946299656","display_name":null,"funder_award_id":"LQ18E050008","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312251388.pdf","grobid_xml":"https://content.openalex.org/works/W4312251388.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1772300941","https://openalex.org/W2099471712","https://openalex.org/W2475287302","https://openalex.org/W2592232824","https://openalex.org/W2611605760","https://openalex.org/W2614580201","https://openalex.org/W2737047298","https://openalex.org/W2798729263","https://openalex.org/W2807195518","https://openalex.org/W2899388690","https://openalex.org/W2951640385","https://openalex.org/W2953367237","https://openalex.org/W2960894964","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963444790","https://openalex.org/W2963460133","https://openalex.org/W2963890275","https://openalex.org/W2964323748","https://openalex.org/W2979880659","https://openalex.org/W3035574324","https://openalex.org/W3048439504","https://openalex.org/W3048800544","https://openalex.org/W3080929853","https://openalex.org/W3082345126","https://openalex.org/W3083610581","https://openalex.org/W3101355225","https://openalex.org/W3106277454","https://openalex.org/W3106586532","https://openalex.org/W3112737987","https://openalex.org/W3113141251","https://openalex.org/W3118406239","https://openalex.org/W3159890710","https://openalex.org/W3165584357","https://openalex.org/W3167319137","https://openalex.org/W3173180830","https://openalex.org/W3179252650","https://openalex.org/W3186141300","https://openalex.org/W3207295883","https://openalex.org/W3215012849","https://openalex.org/W4293398859","https://openalex.org/W6730095352","https://openalex.org/W6734074887","https://openalex.org/W6735204497","https://openalex.org/W6758585559","https://openalex.org/W6797179183"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2893218741","https://openalex.org/W4392589133","https://openalex.org/W2390279801","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W2358668433","https://openalex.org/W1842742976","https://openalex.org/W2803235238","https://openalex.org/W2376932109"],"abstract_inverted_index":{"In":[0],"this":[1,115],"paper,":[2],"we":[3,117],"study":[4],"the":[5,28,36,54,58,80,98,103,106,111,123,139,145,157,171,180],"problem":[6,140],"of":[7,31,39,48,82,88,105,141],"cross-domain":[8],"image-to-image":[9],"transformation":[10,81,100],"from":[11,156],"real":[12,32,154],"faces":[13,15,33],"to":[14,23,53,86,109,125,137,152],"with":[16],"shadow":[17,40],"puppet":[18,41],"style.":[19],"Our":[20],"aim":[21],"is":[22,61,149,167],"make":[24],"target":[25,59,112,158,172],"images":[26,177],"retain":[27],"salient":[29],"features":[30],"and":[34,50,57,101,169],"capture":[35],"artistic":[37],"style":[38],"faces.":[42],"This":[43],"task":[44],"involves":[45],"dual":[46],"changes":[47],"contents":[49],"geometric":[51],"structures":[52],"source":[55],"image,":[56],"distribution":[60],"a":[62,74,93,120,132],"transitional":[63],"distribution,":[64],"that":[65,78,87,164,170,178],"cannot":[66],"be":[67],"solved":[68],"by":[69],"existing":[70],"solutions.":[71],"We":[72,91,129],"propose":[73],"new":[75],"CycleGAN-based":[76],"scheme":[77,166],"extends":[79],"two":[83],"image":[84],"domains":[85],"three":[89],"domains.":[90],"adopt":[92],"two-stage":[94],"generation":[95],"strategy":[96,136],"in":[97,143],"forward":[99],"urge":[102],"generator":[104,124,173],"first":[107],"stage":[108],"learn":[110],"distribution.":[113],"To":[114],"end,":[116],"set":[118],"up":[119],"discriminator":[121],"for":[122],"guide":[126],"its":[127],"generation.":[128],"also":[130],"present":[131],"multiple":[133],"contrastive":[134],"training":[135,144],"address":[138],"difficulty":[142],"discriminator,":[146],"because":[147],"there":[148],"no":[150],"way":[151],"obtain":[153],"samples":[155],"domain.":[159],"The":[160],"experimental":[161],"results":[162],"show":[163],"our":[165],"effective":[168],"can":[174],"produce":[175],"intermediate":[176],"meet":[179],"requirements.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
