{"id":"https://openalex.org/W2896754632","doi":"https://doi.org/10.1109/ijcnn.2018.8489108","title":"Perceptual-DualGAN: Perceptual Losses for Image to Image Translation with Generative Adversarial Nets","display_name":"Perceptual-DualGAN: Perceptual Losses for Image to Image Translation with Generative Adversarial Nets","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896754632","doi":"https://doi.org/10.1109/ijcnn.2018.8489108","mag":"2896754632"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046718019","display_name":"Xuexin Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuexin Qu","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327945","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-4315-1867"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380111","display_name":"Zihan Wang","orcid":"https://orcid.org/0000-0003-4018-1603"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Wang","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030277015","display_name":"Lingchen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingchen Zhang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4563,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.75599217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9861000180244446,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.9256933927536011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7195522785186768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7125575542449951},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7053465843200684},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6493102312088013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5504775643348694},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5032326579093933},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49045464396476746},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4781844913959503},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.45949816703796387},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.45485687255859375},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45354995131492615},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44391563534736633},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.42919105291366577},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4116637408733368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37311017513275146},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.311128169298172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1379493772983551}],"concepts":[{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.9256933927536011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7195522785186768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125575542449951},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7053465843200684},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6493102312088013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5504775643348694},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5032326579093933},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49045464396476746},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4781844913959503},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.45949816703796387},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.45485687255859375},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45354995131492615},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44391563534736633},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.42919105291366577},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4116637408733368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37311017513275146},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.311128169298172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1379493772983551},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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":54,"referenced_works":["https://openalex.org/W189587150","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1915485278","https://openalex.org/W1924619199","https://openalex.org/W2034136097","https://openalex.org/W2059552065","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2153288431","https://openalex.org/W2161366920","https://openalex.org/W2163605009","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2295537950","https://openalex.org/W2298992465","https://openalex.org/W2331128040","https://openalex.org/W2339754110","https://openalex.org/W2502312327","https://openalex.org/W2546938941","https://openalex.org/W2605195953","https://openalex.org/W2643184551","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963226019","https://openalex.org/W2963444790","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2963920537","https://openalex.org/W2964193438","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6640174519","https://openalex.org/W6678815747","https://openalex.org/W6683590716","https://openalex.org/W6684191040","https://openalex.org/W6685352114","https://openalex.org/W6697565712","https://openalex.org/W6702130928","https://openalex.org/W6703724764","https://openalex.org/W6718140377","https://openalex.org/W6724804524","https://openalex.org/W6727340567","https://openalex.org/W6729383884","https://openalex.org/W6729966448","https://openalex.org/W6735913928","https://openalex.org/W6739451790","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4319453795","https://openalex.org/W4385527149","https://openalex.org/W4211167461","https://openalex.org/W3200694817","https://openalex.org/W4375959267","https://openalex.org/W3211124055","https://openalex.org/W3131362257","https://openalex.org/W4286860012","https://openalex.org/W2968664063","https://openalex.org/W4254875156"],"abstract_inverted_index":{"Thinking":[0],"about":[1],"cross-domain":[2,40,120],"image-to-image":[3,41,121],"translation":[4,42,122,151],"problems,":[5],"where":[6],"an":[7,17],"input":[8],"image":[9,19,63,150],"belonging":[10,20],"to":[11,21,68,81,160],"domain":[12,23],"U":[13],"is":[14,66],"transformed":[15],"into":[16],"output":[18],"another":[22],"V.":[24],"A":[25],"series":[26],"of":[27,85,87,95,130,139,166],"typical":[28],"tasks,":[29],"such":[30,46],"as":[31,39,47],"style":[32,135],"transformation,":[33],"colorization,":[34],"super-resolution,":[35],"can":[36,172],"be":[37],"seen":[38],"tasks.":[43],"Recent":[44],"methods":[45],"Conditional":[48],"Generative":[49],"Adversarial":[50],"Networks":[51],"(cGANs)":[52],"make":[53],"big":[54],"progress":[55],"in":[56],"this":[57,100],"field,":[58],"but":[59],"they":[60],"require":[61],"paired":[62,88],"data,":[64],"which":[65],"hard":[67],"obtain.":[69],"The":[70,125],"DualGAN":[71,96],"(Unsupervised":[72],"Dual":[73],"Learning":[74],"for":[75,119],"Image-to-Image":[76],"Translation)":[77],"architecture":[78],"was":[79],"proposed":[80],"solve":[82],"the":[83,91,104,109,164],"issue":[84],"lack":[86],"data.":[89],"But":[90],"pixel-level":[92,105],"reconstruction":[93,106,111,127,132,136],"losses":[94,107,128,133],"are":[97,141],"simple.":[98],"In":[99],"paper,":[101],"we":[102],"replace":[103],"with":[108],"perceptual":[110,126],"losses,":[112,137],"and":[113,134,176],"propose":[114],"a":[115],"more":[116,174,177],"advanced":[117],"framework":[118,156,171],"named":[123],"perceptual-DualGAN.":[124],"consist":[129],"feature":[131],"both":[138],"them":[140],"computed":[142],"from":[143],"pretrained":[144],"loss":[145],"networks.":[146],"Experiments":[147],"on":[148],"multiple":[149],"tasks":[152],"show":[153],"that":[154,169],"our":[155,170],"almost":[157],"performs":[158],"superior":[159],"other":[161],"methods.":[162],"And":[163],"results":[165],"experiments":[167],"illustrate":[168],"generate":[173],"realistic":[175],"natural":[178],"photos.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
