{"id":"https://openalex.org/W3035844609","doi":"https://doi.org/10.1109/access.2020.3003139","title":"InjectionGAN: Unified Generative Adversarial Networks for Arbitrary Image Attribute Editing","display_name":"InjectionGAN: Unified Generative Adversarial Networks for Arbitrary Image Attribute Editing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3035844609","doi":"https://doi.org/10.1109/access.2020.3003139","mag":"3035844609"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3003139","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003139","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119402.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09119402.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012313299","display_name":"Chen Ding","orcid":"https://orcid.org/0000-0003-1322-0929"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Ding","raw_affiliation_strings":["College of Information Engineering, Fuyang Normal University, Fuyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100751183","display_name":"Wei Kang","orcid":"https://orcid.org/0000-0002-5588-6342"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Kang","raw_affiliation_strings":["College of Information Engineering, Fuyang Normal University, Fuyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5588-6342","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007671115","display_name":"Jiaqi Zhu","orcid":"https://orcid.org/0000-0002-0886-4845"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Zhu","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111871584","display_name":"Shuangyan Du","orcid":null},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangyan Du","raw_affiliation_strings":["College of Information Engineering, Fuyang Normal University, Fuyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]}],"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":0.2875,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55072093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"117726","last_page":"117735"},"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":0.9991999864578247,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9902999997138977,"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":0.9891999959945679,"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":0.8097144365310669},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.766413688659668},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6239848136901855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5936079025268555},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5523805618286133},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5327116847038269},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5230841636657715},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4687243700027466},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4667622745037079},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4472360610961914},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.443752259016037},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.44116345047950745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42917001247406006},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4172893464565277},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.41017472743988037},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4010631740093231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25681596994400024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12065044045448303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8097144365310669},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.766413688659668},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6239848136901855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5936079025268555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5523805618286133},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5327116847038269},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5230841636657715},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4687243700027466},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4667622745037079},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4472360610961914},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.443752259016037},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.44116345047950745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42917001247406006},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4172893464565277},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41017472743988037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4010631740093231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25681596994400024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12065044045448303},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3003139","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003139","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119402.pdf","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:261493aa9df44e4eaf1976f60326358e","is_oa":true,"landing_page_url":"https://doaj.org/article/261493aa9df44e4eaf1976f60326358e","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 8, Pp 117726-117735 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3003139","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003139","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119402.pdf","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":[{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2516179514","display_name":null,"funder_award_id":"FXG2020ZY01","funder_id":"https://openalex.org/F4320327585","funder_display_name":"Fuyang Normal University"},{"id":"https://openalex.org/G3259221777","display_name":null,"funder_award_id":"2018FXJK04","funder_id":"https://openalex.org/F4320327585","funder_display_name":"Fuyang Normal University"},{"id":"https://openalex.org/G3374299204","display_name":null,"funder_award_id":"2008085QA16","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G4684418191","display_name":null,"funder_award_id":"KJ2019A0589","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G7133301042","display_name":null,"funder_award_id":"2019FSKJ01ZD","funder_id":"https://openalex.org/F4320327585","funder_display_name":"Fuyang Normal University"},{"id":"https://openalex.org/G7929604547","display_name":null,"funder_award_id":"2019FSKJ01ZD","funder_id":"https://openalex.org/F4320335878","funder_display_name":"Doctoral Foundation of Fuyang Normal University"}],"funders":[{"id":"https://openalex.org/F4320327585","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335878","display_name":"Doctoral Foundation of Fuyang Normal University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035844609.pdf","grobid_xml":"https://content.openalex.org/works/W3035844609.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W149524706","https://openalex.org/W1522301498","https://openalex.org/W1780066064","https://openalex.org/W1834627138","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1924619199","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2475287302","https://openalex.org/W2552611751","https://openalex.org/W2603777577","https://openalex.org/W2621350877","https://openalex.org/W2734498959","https://openalex.org/W2739748921","https://openalex.org/W2740871496","https://openalex.org/W2760103357","https://openalex.org/W2768959015","https://openalex.org/W2769340603","https://openalex.org/W2787928077","https://openalex.org/W2798729263","https://openalex.org/W2799062770","https://openalex.org/W2883861033","https://openalex.org/W2895743108","https://openalex.org/W2895749211","https://openalex.org/W2914848199","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2962947361","https://openalex.org/W2963008857","https://openalex.org/W2963073614","https://openalex.org/W2963187862","https://openalex.org/W2963330667","https://openalex.org/W2963435050","https://openalex.org/W2963470893","https://openalex.org/W2963561004","https://openalex.org/W2963626105","https://openalex.org/W2963695770","https://openalex.org/W2963767194","https://openalex.org/W2963901923","https://openalex.org/W2963920537","https://openalex.org/W2964121744","https://openalex.org/W2964204305","https://openalex.org/W2964271895","https://openalex.org/W2981017910","https://openalex.org/W2981624307","https://openalex.org/W3034723751","https://openalex.org/W3035398999","https://openalex.org/W3096044019","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637940854","https://openalex.org/W6639824700","https://openalex.org/W6640174519","https://openalex.org/W6678815747","https://openalex.org/W6729939709","https://openalex.org/W6734074887","https://openalex.org/W6735913928","https://openalex.org/W6739139180","https://openalex.org/W6740674931","https://openalex.org/W6741832134","https://openalex.org/W6745992979","https://openalex.org/W6746124379","https://openalex.org/W6748733227","https://openalex.org/W6752944736","https://openalex.org/W6759523125","https://openalex.org/W6767457696","https://openalex.org/W6770646786","https://openalex.org/W6775964668","https://openalex.org/W6776587312"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2502115930","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W2905311601"],"abstract_inverted_index":{"Existing":[0],"image-to-image":[1],"translation":[2,63],"methods":[3],"usually":[4],"incorporate":[5],"encoder-decoder":[6],"and":[7,33,64,120],"generative":[8,98],"adversarial":[9,99,165],"networks":[10],"to":[11,40,74,125,145,150],"generate":[12],"images.":[13],"The":[14,134,167],"encoder":[15,144],"compresses":[16],"an":[17,113],"entire":[18],"image":[19,62,129],"into":[20,130],"a":[21,25,31,90,96,177],"static":[22],"representation":[23],"using":[24],"sequence":[26],"of":[27,47,59],"convolution":[28],"layers":[29],"until":[30],"bottleneck,":[32],"then,":[34],"the":[35,41,45,57,75,81,109,127,131,139,143,146,152,157,161],"intermediate":[36],"features":[37],"are":[38,123],"decoded":[39],"target":[42,110,132],"image.":[43,83],"However,":[44],"existence":[46],"bottleneck":[48],"layer":[49],"in":[50,56,80,142],"those":[51],"approaches":[52],"still":[53],"has":[54],"limitations":[55],"sharpness":[58],"details,":[60],"distinct":[61],"identity":[65],"preservation,":[66],"since":[67],"different":[68],"domain":[69,111],"translations":[70],"may":[71],"be":[72],"related":[73],"global":[76],"or":[77],"local":[78],"region":[79],"input":[82,128],"To":[84],"address":[85],"these":[86],"issues,":[87],"we":[88],"propose":[89],"new":[91],"model,":[92],"InjectionGAN,":[93],"based":[94],"on":[95,108,169],"novel":[97],"network":[100,115],"(GAN)":[101],"for":[102],"arbitrary":[103],"attribute":[104],"transfer.":[105],"Specifically,":[106],"conditional":[107],"label,":[112],"auto-encoder-like":[114],"with":[116],"multiple":[117],"linear":[118],"transformation":[119],"refinement":[121],"connections":[122,135],"trained":[124],"translate":[126],"domain.":[133],"block":[136],"better":[137,178],"shuttle":[138],"low-level":[140],"information":[141,154],"decoder,":[147],"which":[148],"helps":[149],"preserve":[151],"structural":[153],"while":[155],"modify":[156],"appearance":[158],"slightly":[159],"at":[160],"pixel":[162],"level":[163],"through":[164],"training.":[166],"results":[168],"two":[170],"popular":[171],"datasets":[172],"suggest":[173],"that":[174],"InjectionGAN":[175],"achieves":[176],"performance.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
