{"id":"https://openalex.org/W3000586766","doi":"https://doi.org/10.1145/3338533.3366605","title":"Food Photo Enhancer of One Sample Generative Adversarial Network","display_name":"Food Photo Enhancer of One Sample Generative Adversarial Network","publication_year":2019,"publication_date":"2019-12-15","ids":{"openalex":"https://openalex.org/W3000586766","doi":"https://doi.org/10.1145/3338533.3366605","mag":"3000586766"},"language":"en","primary_location":{"id":"doi:10.1145/3338533.3366605","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338533.3366605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Asia","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/A5089201871","display_name":"Shudan Wang","orcid":"https://orcid.org/0000-0002-9292-0992"},"institutions":[{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Shudan Wang","raw_affiliation_strings":["Institute of Artificial Intelligence, School of Automation and Electrical Engineering, University of Science and Technology Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Automation and Electrical Engineering, University of Science and Technology Beijing","institution_ids":["https://openalex.org/I4210105595","https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029043997","display_name":"Liang Sun","orcid":"https://orcid.org/0000-0003-1107-7081"},"institutions":[{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Liang Sun","raw_affiliation_strings":["Institute of Artificial Intelligence, School of Automation and Electrical Engineering, University of Science and Technology Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Automation and Electrical Engineering, University of Science and Technology Beijing","institution_ids":["https://openalex.org/I4210105595","https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069298091","display_name":"Weiming Dong","orcid":"https://orcid.org/0000-0001-6502-145X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiming Dong","raw_affiliation_strings":["National Laboratory of Pattern Recognition"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100419834","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-0066-3448"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.9979000091552734,"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":0.7330127358436584},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6518822312355042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6288448572158813},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6186245083808899},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5877355933189392},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5666621923446655},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5261604189872742},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5166295170783997},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4950827658176422},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45357760787010193},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4515877068042755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39685019850730896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3753826320171356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330127358436584},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6518822312355042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6288448572158813},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6186245083808899},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5877355933189392},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5666621923446655},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5261604189872742},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5166295170783997},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4950827658176422},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45357760787010193},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4515877068042755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39685019850730896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3753826320171356},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3338533.3366605","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338533.3366605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1915360731","https://openalex.org/W1964772475","https://openalex.org/W2083509580","https://openalex.org/W2105536892","https://openalex.org/W2133665775","https://openalex.org/W2137203830","https://openalex.org/W2162342922","https://openalex.org/W2170608748","https://openalex.org/W2319224732","https://openalex.org/W2331128040","https://openalex.org/W2512367300","https://openalex.org/W2520164769","https://openalex.org/W2584009249","https://openalex.org/W2605287558","https://openalex.org/W2607202125","https://openalex.org/W2793146153","https://openalex.org/W2798312861","https://openalex.org/W2798844427","https://openalex.org/W2807033398","https://openalex.org/W2883376126","https://openalex.org/W2903335068","https://openalex.org/W2962737447","https://openalex.org/W2962947361","https://openalex.org/W2963073614","https://openalex.org/W2963444790","https://openalex.org/W2963522749","https://openalex.org/W2963684405","https://openalex.org/W2972610293"],"related_works":["https://openalex.org/W4386984417","https://openalex.org/W2888032422","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W3005996785","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W4297411772","https://openalex.org/W4235873501","https://openalex.org/W2986089616"],"abstract_inverted_index":{"Image":[0],"enhancement":[1],"is":[2,76,84],"an":[3],"important":[4],"branch":[5],"in":[6,118],"the":[7,80,89,140,149,152],"field":[8],"of":[9,35,45,57,69,151],"image":[10,47,60,103],"processing.":[11],"A":[12],"few":[13],"existing":[14],"methods":[15,75],"leverage":[16],"Generative":[17],"Adversarial":[18],"Networks":[19],"(GANs)":[20],"for":[21,97],"this":[22],"task.":[23],"However,":[24],"they":[25],"have":[26,55],"several":[27],"defects":[28],"when":[29],"applied":[30],"to":[31,51,64,147],"a":[32,42,94,128],"specific":[33],"type":[34],"images,":[36],"such":[37],"as":[38],"food":[39,98],"photo.":[40],"First,":[41],"large":[43],"set":[44],"original-enhanced":[46,102],"pairs":[48,61,104],"are":[49,62,105],"required":[50,106],"train":[52],"GANs":[53],"that":[54],"millions":[56],"parameters.":[58],"Such":[59],"expensive":[63],"acquire.":[65],"Second,":[66],"color":[67],"distribution":[68],"enhanced":[70],"images":[71],"generated":[72],"by":[73],"previous":[74],"not":[77,85],"consistent":[78],"with":[79],"original":[81,109],"ones,":[82],"which":[83,131],"expected.":[86],"To":[87],"alleviate":[88],"issues":[90],"above,":[91],"we":[92],"propose":[93],"novel":[95],"method":[96,142,154],"photo":[99],"enhancement.":[100],"No":[101],"except":[107],"only":[108],"images.":[110],"We":[111,138],"investigate":[112],"Food":[113],"Faithful":[114],"Color":[115],"Semantic":[116],"Rules":[117],"Enhanced":[119],"Dataset":[120],"Photo":[121],"Enhancement":[122],"(Faith-EDPE)":[123],"and":[124,158],"also":[125],"carefully":[126],"design":[127],"light":[129],"generator":[130],"can":[132],"preserve":[133],"semantic":[134],"relations":[135],"among":[136],"colors.":[137],"evaluate":[139],"proposed":[141,153],"on":[143],"public":[144],"benchmark":[145],"databases":[146],"demonstrate":[148],"effectiveness":[150],"through":[155],"visual":[156],"results":[157],"user":[159],"studies.":[160]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
