{"id":"https://openalex.org/W4386702845","doi":"https://doi.org/10.1109/tnnls.2023.3311545","title":"DW-GAN: Toward High-Fidelity Color-Tones of GAN-Generated Images With Dynamic Weights","display_name":"DW-GAN: Toward High-Fidelity Color-Tones of GAN-Generated Images With Dynamic Weights","publication_year":2023,"publication_date":"2023-09-13","ids":{"openalex":"https://openalex.org/W4386702845","doi":"https://doi.org/10.1109/tnnls.2023.3311545","pmid":"https://pubmed.ncbi.nlm.nih.gov/37703159"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3311545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3311545","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100318161","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-3135-0447"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science and the Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, Jiangsu, China","School of Artificial Intelligence and Computer Science and the Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-3135-0447","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science and the Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science and the Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101240927","display_name":"Chengchun Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengchun Gu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science and the Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, Jiangsu, China","School of Artificial Intelligence and Computer Science and the Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science and the Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science and the Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067207374","display_name":"Jinlin Chen","orcid":"https://orcid.org/0000-0003-3923-8844"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jinlin Chen","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3923-8844","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023893507","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0002-7443-6267"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7443-6267","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009140098","display_name":"Xiaowu Zhang","orcid":"https://orcid.org/0000-0002-4840-5520"},"institutions":[{"id":"https://openalex.org/I4210163926","display_name":"Zhejiang Medicine (China)","ror":"https://ror.org/05h86nk22","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210163926"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowu Zhang","raw_affiliation_strings":["Zhejiang Linyan Precision Technology Company Ltd., Zhejiang, China","Zhejiang Linyan Precision Technology Company Ltd, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Linyan Precision Technology Company Ltd., Zhejiang, China","institution_ids":["https://openalex.org/I4210163926"]},{"raw_affiliation_string":"Zhejiang Linyan Precision Technology Company Ltd, Zhejiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427255","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0001-5384-3245"},"institutions":[{"id":"https://openalex.org/I4210163926","display_name":"Zhejiang Medicine (China)","ror":"https://ror.org/05h86nk22","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210163926"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["Zhejiang Linyan Precision Technology Company Ltd., Zhejiang, China","Zhejiang Linyan Precision Technology Company Ltd, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Linyan Precision Technology Company Ltd., Zhejiang, China","institution_ids":["https://openalex.org/I4210163926"]},{"raw_affiliation_string":"Zhejiang Linyan Precision Technology Company Ltd, Zhejiang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400329","display_name":"Ping Chen","orcid":"https://orcid.org/0000-0003-3789-7686"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Chen","raw_affiliation_strings":["Department of Engineering, University of Massachusetts Boston, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3789-7686","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Massachusetts Boston, Boston, MA, USA","institution_ids":["https://openalex.org/I33434090"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3586,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80799664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"35","issue":"12","first_page":"18090","last_page":"18104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9531000256538391,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9531000256538391,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9093000292778015,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.8999999761581421,"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/high-fidelity","display_name":"High fidelity","score":0.6407240629196167},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.5850344896316528},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.40187692642211914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38499322533607483},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24896031618118286},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.19303980469703674}],"concepts":[{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.6407240629196167},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.5850344896316528},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.40187692642211914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38499322533607483},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24896031618118286},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.19303980469703674}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3311545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3311545","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37703159","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37703159","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G7861401651","display_name":null,"funder_award_id":"2022YFF1101100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W92691110","https://openalex.org/W759139936","https://openalex.org/W1570411240","https://openalex.org/W1975514318","https://openalex.org/W2002856929","https://openalex.org/W2003370853","https://openalex.org/W2034365297","https://openalex.org/W2066445465","https://openalex.org/W2125331911","https://openalex.org/W2129112648","https://openalex.org/W2130459697","https://openalex.org/W2145023731","https://openalex.org/W2344791503","https://openalex.org/W2607041014","https://openalex.org/W2737047298","https://openalex.org/W2913044631","https://openalex.org/W2919115771","https://openalex.org/W2927933146","https://openalex.org/W2933283236","https://openalex.org/W2951979964","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W3034625979","https://openalex.org/W3035149916","https://openalex.org/W3035574324","https://openalex.org/W3080477316","https://openalex.org/W3130073172","https://openalex.org/W3174868683","https://openalex.org/W4210486547","https://openalex.org/W4285505540","https://openalex.org/W4292360407","https://openalex.org/W4295274059","https://openalex.org/W4386071613","https://openalex.org/W4386075993","https://openalex.org/W6681363145","https://openalex.org/W6718140377","https://openalex.org/W6732249622","https://openalex.org/W6732943021","https://openalex.org/W6734641875","https://openalex.org/W6743259963","https://openalex.org/W6765779288","https://openalex.org/W6771987224","https://openalex.org/W6776922149","https://openalex.org/W6779841522","https://openalex.org/W6788340828"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2016187641","https://openalex.org/W4404725684","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058"],"abstract_inverted_index":{"Color-tone":[0],"represents":[1],"the":[2,51,99,132,143,146,154,157,165,171,185,198,216,228],"prominent":[3],"color":[4],"of":[5,17,32,134,145,156,174,219],"an":[6],"image,":[7],"and":[8,103,109,152,194,210,226],"training":[9,172],"generative":[10],"adversarial":[11],"nets":[12],"(GAN)":[13],"to":[14,58,62,97,161,196,214],"change":[15],"color-tones":[16,31],"generated":[18,33],"images":[19,34,73,225],"is":[20,56,123,177],"desirable":[21],"in":[22,77,221],"many":[23],"applications.":[24],"Advances":[25],"such":[26],"as":[27],"HistoGAN":[28,48,193],"can":[29,114],"manipulate":[30],"with":[35,74,106,149],"a":[36,63,85,175,179],"target":[37],"image.":[38],"Yet,":[39],"there":[40],"are":[41],"challenges.":[42],"Kullback-Leibler":[43],"(KL)":[44],"divergence":[45],"adopted":[46],"by":[47],"might":[49],"bring":[50],"color-tone":[52],"mismatching,":[53],"because":[54],"it":[55],"possible":[57],"provide":[59],"infinite":[60,135],"score":[61],"generator.":[64],"Moreover,":[65],"only":[66],"relying":[67],"on":[68,206],"distribution":[69,100],"estimation":[70],"also":[71],"produces":[72],"lower":[75],"fidelity":[76,224],"HistoGAN.":[78],"To":[79,137],"address":[80],"these":[81],"issues,":[82],"we":[83,141,182,202],"propose":[84],"new":[86],"approach,":[87],"named":[88],"dynamic":[89,163,186],"weights":[90,155,187],"GAN":[91,190],"(DW-GAN).":[92],"We":[93],"use":[94],"two":[95,147,158],"discriminators":[96,148],"estimate":[98],"matching":[101],"degree":[102],"details'":[104],"similarity,":[105],"Laplacian":[107,112],"operator":[108,113],"Hinge":[110,121],"loss.":[111],"help":[115],"capture":[116],"more":[117],"image":[118],"details,":[119],"while":[120],"loss":[122,144,151],"deduced":[124],"from":[125,178],"mean":[126],"difference":[127],"(MD)":[128],"that":[129,170],"could":[130],"avoid":[131],"case":[133],"score.":[136],"synthesize":[138],"desired":[139],"images,":[140],"combine":[142],"generator":[150,176],"set":[153],"estimated":[159],"scores":[160,234],"be":[162],"through":[164],"previous":[166],"discriminators'":[167],"outputs,":[168],"given":[169],"signal":[173],"discriminator.":[180],"Besides,":[181],"innovatively":[183],"integrate":[184],"into":[188],"other":[189],"variants":[191],"(e.g.,":[192],"StyleGAN)":[195],"show":[197],"improved":[199],"performance.":[200],"Finally,":[201],"conduct":[203],"extensive":[204],"experiments":[205],"one":[207],"industrial":[208],"Fabric":[209],"seven":[211],"public":[212],"datasets":[213],"demonstrate":[215],"significant":[217],"performance":[218],"DW-GAN":[220],"producing":[222],"higher":[223],"achieving":[227],"lowest":[229],"Frechet":[230],"inception":[231],"distance":[232],"(FID)":[233],"over":[235],"SOTA":[236],"baselines.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}