{"id":"https://openalex.org/W4389880132","doi":"https://doi.org/10.1109/sibgrapi59091.2023.10347037","title":"A Zero-Shot Image Enhancement Method Based on Human Skin Tone Reference","display_name":"A Zero-Shot Image Enhancement Method Based on Human Skin Tone Reference","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4389880132","doi":"https://doi.org/10.1109/sibgrapi59091.2023.10347037"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi59091.2023.10347037","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sibgrapi59091.2023.10347037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5044457665","display_name":"Diulhio Candido de Oliveira","orcid":"https://orcid.org/0000-0002-2888-6208"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diulhio Oliveira","raw_affiliation_strings":["Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037311345","display_name":"Alexandre D\u00edas L\u00f3pes","orcid":"https://orcid.org/0000-0001-8132-985X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre Lopes","raw_affiliation_strings":["Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530","Institute of Computing, University of Campinas, Campinas, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530","institution_ids":[]},{"raw_affiliation_string":"Institute of Computing, University of Campinas, Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028056235","display_name":"Vitor Galassi Luquezi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vitor Galassi Luquezi","raw_affiliation_strings":["Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077084027","display_name":"Carlos Eduardo Wayne Nogueira","orcid":"https://orcid.org/0000-0002-8555-7953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos Eduardo Nogueira","raw_affiliation_strings":["Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040677264","display_name":"Mauricio Schiezaro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mauricio Schiezaro","raw_affiliation_strings":["Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Venturus - Innovation &#x0026; Technology,Campinas,SP,Brazil,13086-530","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038304841","display_name":"Dennis Liu","orcid":"https://orcid.org/0000-0001-6906-7578"},"institutions":[{"id":"https://openalex.org/I4210150865","display_name":"Compal Electronics (Taiwan)","ror":"https://ror.org/04p59xr47","country_code":"TW","type":"archive","lineage":["https://openalex.org/I4210150865"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Dennis Liu","raw_affiliation_strings":["Compal - Electronics Inc.,Taipei,Taiwan,11492"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Compal - Electronics Inc.,Taipei,Taiwan,11492","institution_ids":["https://openalex.org/I4210150865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065725754","display_name":"H\u00e9lio Pedrini","orcid":"https://orcid.org/0000-0003-0125-630X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Helio Pedrini","raw_affiliation_strings":["Institute of Computing, University of Campinas,Campinas,SP,Brazil,13083-852"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas,Campinas,SP,Brazil,13083-852","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21483828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"187","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.972000002861023,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9420999884605408,"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":0.7647035717964172},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7222931385040283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7030031681060791},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6943170428276062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6240606307983398},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5795716643333435},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.5419316291809082},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5199719667434692},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5155377388000488},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3273293077945709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7647035717964172},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7222931385040283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7030031681060791},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6943170428276062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6240606307983398},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5795716643333435},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.5419316291809082},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5199719667434692},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5155377388000488},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3273293077945709},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi59091.2023.10347037","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sibgrapi59091.2023.10347037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2128926607","https://openalex.org/W2165107586","https://openalex.org/W2468596194","https://openalex.org/W2558830628","https://openalex.org/W2566376500","https://openalex.org/W2766802800","https://openalex.org/W2780108394","https://openalex.org/W2798844427","https://openalex.org/W2897662688","https://openalex.org/W2948354154","https://openalex.org/W2962785568","https://openalex.org/W2963466723","https://openalex.org/W2963566548","https://openalex.org/W2982143932","https://openalex.org/W3034552680","https://openalex.org/W3035595647","https://openalex.org/W3090531178","https://openalex.org/W3161821165","https://openalex.org/W3163547207","https://openalex.org/W3205076022","https://openalex.org/W4230472795","https://openalex.org/W6795402001"],"related_works":["https://openalex.org/W4214877189","https://openalex.org/W2074502265","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2366718574","https://openalex.org/W4388696151","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2728912566","https://openalex.org/W2390747953"],"abstract_inverted_index":{"In":[0],"this":[1,44],"work,":[2],"we":[3],"introduce":[4],"a":[5,96,120],"zero-shot":[6],"method":[7,16,94],"for":[8],"color":[9,72],"enhancement":[10],"in":[11,43,53],"images":[12],"containing":[13],"people.":[14],"This":[15],"is":[17,46,74],"based":[18],"on":[19,115,124],"photo":[20,111],"edition":[21],"techniques":[22],"used":[23,122],"by":[24,109],"professional":[25,110],"editors,":[26],"where":[27],"these":[28],"professionals":[29],"adjust":[30],"the":[31,36,58,63,68,90,106,116],"RGB":[32],"curves,":[33],"which":[34,85],"affects":[35],"image":[37,125],"colors":[38],"globally.":[39],"The":[40,92],"hypothesis":[41],"adopted":[42],"investigation":[45],"that,":[47],"when":[48],"there":[49],"are":[50],"people":[51],"present":[52],"an":[54],"image,":[55],"they":[56],"become":[57],"most":[59,88],"important":[60],"element":[61],"of":[62,67,71,89,98,101],"scene,":[64],"so":[65],"one":[66],"main":[69],"aspects":[70],"adjustment":[73],"to":[75,104,135],"make":[76],"their":[77],"skin":[78],"tones":[79],"look":[80],"more":[81],"realistic":[82],"and":[83],"natural,":[84],"should":[86],"please":[87],"viewers.":[91],"proposed":[93],"employs":[95],"pipeline":[97],"classical":[99],"algorithms":[100],"computer":[102],"vision":[103],"mimic":[105],"process":[107],"applied":[108],"editors.":[112],"Experiments":[113],"performed":[114],"Adobe-MIT":[117],"5k":[118],"dataset,":[119],"widely":[121],"dataset":[123],"enhancement,":[126],"show":[127],"that":[128],"our":[129],"approach":[130],"has":[131],"similar":[132],"performance":[133],"compared":[134],"supervised":[136],"data-driven":[137],"state-of-art":[138],"methods.":[139]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
