{"id":"https://openalex.org/W3210130322","doi":"https://doi.org/10.1109/access.2021.3122834","title":"Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks","display_name":"Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3210130322","doi":"https://doi.org/10.1109/access.2021.3122834","mag":"3210130322"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3122834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3122834","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2021.3122834","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026117039","display_name":"Farkhod Makhmudkhujaev","orcid":"https://orcid.org/0000-0003-2594-8327"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Farkhod Makhmudkhujaev","raw_affiliation_strings":["Department of Information and Communication Engineering, Inha University, Incheon 22212, Korea","Department of Information and Communication Engineering, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2594-8327","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon 22212, Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045083125","display_name":"Junseok Kwon","orcid":"https://orcid.org/0000-0001-9526-7549"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junseok Kwon","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul 06974, Korea","School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9526-7549","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul 06974, Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091701800","display_name":"In Kyu Park","orcid":"https://orcid.org/0000-0003-4774-7841"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In Kyu Park","raw_affiliation_strings":["Department of Information and Communication Engineering, Inha University, Incheon 22212, Korea. (e-mail: pik@inha.ac.kr)","Department of Information and Communication Engineering, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4774-7841","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon 22212, Korea. (e-mail: pik@inha.ac.kr)","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0942,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40266317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"144699","last_page":"144712"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9900000095367432,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.977400004863739,"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":0.776604413986206},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6068124771118164},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5659880638122559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5513045787811279},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5303464531898499},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47181782126426697},{"id":"https://openalex.org/keywords/generative-design","display_name":"Generative Design","score":0.4632576107978821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3799266517162323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3410199284553528},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33897513151168823},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07742220163345337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776604413986206},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6068124771118164},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5659880638122559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5513045787811279},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5303464531898499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47181782126426697},{"id":"https://openalex.org/C184408114","wikidata":"https://www.wikidata.org/wiki/Q1502022","display_name":"Generative Design","level":3,"score":0.4632576107978821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3799266517162323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3410199284553528},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33897513151168823},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07742220163345337},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3122834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3122834","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:78a98bdcd9b54ed0a9f64108b16fa9c4","is_oa":true,"landing_page_url":"https://doaj.org/article/78a98bdcd9b54ed0a9f64108b16fa9c4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 144699-144712 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3122834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3122834","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5406475961","display_name":null,"funder_award_id":"NRF-2019R1A2C1006706","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320321370","display_name":"Inha University","ror":"https://ror.org/01easw929"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":111,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1836465849","https://openalex.org/W1959608418","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2150066425","https://openalex.org/W2150283722","https://openalex.org/W2156338447","https://openalex.org/W2163605009","https://openalex.org/W2173520492","https://openalex.org/W2186574009","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2212660284","https://openalex.org/W2423557781","https://openalex.org/W2545656684","https://openalex.org/W2548275288","https://openalex.org/W2552611751","https://openalex.org/W2560481159","https://openalex.org/W2593414223","https://openalex.org/W2603777577","https://openalex.org/W2727849499","https://openalex.org/W2768959015","https://openalex.org/W2785678896","https://openalex.org/W2787579267","https://openalex.org/W2893749619","https://openalex.org/W2894919355","https://openalex.org/W2895191479","https://openalex.org/W2895749211","https://openalex.org/W2912990735","https://openalex.org/W2923549568","https://openalex.org/W2949117887","https://openalex.org/W2950776302","https://openalex.org/W2951523806","https://openalex.org/W2952716587","https://openalex.org/W2954295695","https://openalex.org/W2962754210","https://openalex.org/W2962760235","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2962974533","https://openalex.org/W2963066125","https://openalex.org/W2963073614","https://openalex.org/W2963163163","https://openalex.org/W2963306805","https://openalex.org/W2963330667","https://openalex.org/W2963373786","https://openalex.org/W2963636093","https://openalex.org/W2963684088","https://openalex.org/W2963767194","https://openalex.org/W2963836885","https://openalex.org/W2963890275","https://openalex.org/W2963981733","https://openalex.org/W2964024144","https://openalex.org/W2964316369","https://openalex.org/W2970475648","https://openalex.org/W2970778968","https://openalex.org/W2973233205","https://openalex.org/W2974737629","https://openalex.org/W2982041717","https://openalex.org/W2986854696","https://openalex.org/W2991173293","https://openalex.org/W3010003739","https://openalex.org/W3014586865","https://openalex.org/W3020094669","https://openalex.org/W3034600949","https://openalex.org/W3035057895","https://openalex.org/W3035557850","https://openalex.org/W3035558814","https://openalex.org/W3035574324","https://openalex.org/W3035739915","https://openalex.org/W3108663077","https://openalex.org/W3115462576","https://openalex.org/W3134047245","https://openalex.org/W3159890710","https://openalex.org/W4288107876","https://openalex.org/W4294643831","https://openalex.org/W4295521014","https://openalex.org/W4297738463","https://openalex.org/W4297772798","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6638667902","https://openalex.org/W6640963894","https://openalex.org/W6678815747","https://openalex.org/W6684191040","https://openalex.org/W6685352114","https://openalex.org/W6688325169","https://openalex.org/W6691096134","https://openalex.org/W6718379498","https://openalex.org/W6729110096","https://openalex.org/W6729482032","https://openalex.org/W6729939709","https://openalex.org/W6735913928","https://openalex.org/W6745560452","https://openalex.org/W6745992979","https://openalex.org/W6748582592","https://openalex.org/W6748655329","https://openalex.org/W6751862702","https://openalex.org/W6754623577","https://openalex.org/W6755312952","https://openalex.org/W6765027224","https://openalex.org/W6765779288","https://openalex.org/W6768071497","https://openalex.org/W6769499865","https://openalex.org/W6786875736","https://openalex.org/W6791642149"],"related_works":["https://openalex.org/W775311126","https://openalex.org/W1517876498","https://openalex.org/W4300030714","https://openalex.org/W2489288131","https://openalex.org/W3185513875","https://openalex.org/W3005996785","https://openalex.org/W4386984417","https://openalex.org/W2948893645","https://openalex.org/W178986308","https://openalex.org/W2476099471"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,49,104,130],"tackle":[4],"the":[5,12,26,36,44,53,66,70,75,88,92,97,106,119,127,157,160,167,175,186,190,212,229,238],"well-known":[6],"problem":[7],"of":[8,14,25,40,121,148,193,232],"dataset":[9,27,250],"construction":[10],"from":[11,145],"point":[13],"its":[15,171,245],"generation":[16,38,240],"using":[17],"generative":[18,54,153,202],"adversarial":[19],"networks":[20],"(GAN).":[21],"As":[22],"semantic":[23],"information":[24,60],"should":[28],"have":[29],"a":[30,132,146,152],"proper":[31],"alignment":[32],"with":[33,82,211],"images,":[34],"controlling":[35,166],"image":[37,67,182,222,239],"process":[39,55,241],"GAN":[41],"comes":[42],"to":[43,61,91,110,141,159,174],"first":[45],"position.":[46],"Considering":[47],"this,":[48],"focus":[50],"on":[51,216],"conditioning":[52],"by":[56,95,155,169],"solely":[57],"utilizing":[58,96],"conditional":[59,93,128,137,230],"achieve":[62],"reliable":[63,115],"control":[64,236],"over":[65,237],"generation.":[68,183],"Unlike":[69],"existing":[71,201],"works":[72],"that":[73,139,185,228],"consider":[74],"input":[76,89,122,158],"(noise":[77],"or":[78],"image)":[79],"in":[80,206,249],"conjunction":[81],"conditions,":[83],"our":[84],"work":[85],"considers":[86],"transforming":[87,156],"directly":[90],"space":[94,117],"given":[98],"conditions":[99,109,149,177],"only.":[100],"By":[101],"doing":[102],"so,":[103],"reveal":[105],"relations":[107],"between":[108],"determine":[111],"their":[112],"distinct":[113],"and":[114,204,224,242],"feature":[116],"without":[118],"impact":[120],"information.":[123],"To":[124],"fully":[125],"leverage":[126],"information,":[129],"propose":[131],"novel":[133,221],"architectural":[134],"framework":[135,187],"(i.e.,":[136],"transformation)":[138],"aims":[140],"learn":[142],"features":[143],"only":[144],"set":[147],"for":[150,179,247],"guiding":[151],"model":[154],"generator.":[161,213],"Such":[162],"an":[163,207],"approach":[164],"enables":[165],"generator":[168],"setting":[170],"inputs":[172,233],"according":[173],"specific":[176],"necessary":[178],"semantically":[180],"correct":[181],"Given":[184],"operates":[188],"at":[189],"initial":[191],"stage":[192],"generation,":[194],"it":[195],"can":[196],"be":[197],"plugged":[198],"into":[199],"any":[200],"models":[203],"trained":[205],"end-to-end":[208],"manner":[209],"together":[210],"Extensive":[214],"experiments":[215],"various":[217],"tasks,":[218],"such":[219],"as":[220],"synthesis":[223],"image-to-image":[225],"translation,":[226],"demonstrate":[227],"transformation":[231],"facilitates":[234],"solid":[235],"thus":[243],"shows":[244],"applicability":[246],"use":[248],"construction.":[251]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
