{"id":"https://openalex.org/W3003244550","doi":"https://doi.org/10.1109/access.2020.2970169","title":"Image Inpainting Based on Generative Adversarial Networks","display_name":"Image Inpainting Based on Generative Adversarial Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3003244550","doi":"https://doi.org/10.1109/access.2020.2970169","mag":"3003244550"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2970169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2970169","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974211.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/ielx7/6287639/8948470/08974211.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101836045","display_name":"Yi Jiang","orcid":"https://orcid.org/0009-0002-2118-9140"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Jiang","raw_affiliation_strings":["College of Information Engineering, Yangzhou University, Yangzhou, China","State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]},{"raw_affiliation_string":"State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086062267","display_name":"Jiajie Xu","orcid":"https://orcid.org/0000-0001-8227-8636"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Xu","raw_affiliation_strings":["College of Information Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064877520","display_name":"Baoqing Yang","orcid":"https://orcid.org/0000-0001-5939-6191"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoqing Yang","raw_affiliation_strings":["College of Information Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042066408","display_name":"Jing Xu","orcid":"https://orcid.org/0000-0001-8532-2241"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xu","raw_affiliation_strings":["College of Information Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100751130","display_name":"Junwu Zhu","orcid":"https://orcid.org/0000-0001-5810-613X"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]},{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Junwu Zhu","raw_affiliation_strings":["College of Information Engineering, Yangzhou University, Yangzhou, China","Department of Computer Science and Technology, University of Guelph, Guelph, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5810-613X","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]},{"raw_affiliation_string":"Department of Computer Science and Technology, University of Guelph, Guelph, Canada","institution_ids":["https://openalex.org/I79817857"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101836045"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I78978612"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.217,"has_fulltext":true,"cited_by_count":73,"citation_normalized_percentile":{"value":0.95309938,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"22884","last_page":"22892"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9959999918937683,"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":0.9940000176429749,"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/discriminator","display_name":"Discriminator","score":0.958357572555542},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9307748079299927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.748214840888977},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.7216048836708069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.653436005115509},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6202669739723206},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5917566418647766},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5358760356903076},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4977624714374542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43822070956230164},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.43733087182044983},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.42834922671318054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42347246408462524},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.230973482131958}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.958357572555542},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9307748079299927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748214840888977},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7216048836708069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.653436005115509},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6202669739723206},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5917566418647766},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5358760356903076},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4977624714374542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43822070956230164},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.43733087182044983},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.42834922671318054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42347246408462524},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.230973482131958},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2970169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2970169","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974211.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:7bfd79b06549473bb51cb077074702d3","is_oa":true,"landing_page_url":"https://doaj.org/article/7bfd79b06549473bb51cb077074702d3","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 22884-22892 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2970169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2970169","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974211.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":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2238866423","display_name":null,"funder_award_id":"20180012","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G2950090234","display_name":null,"funder_award_id":"YDJD201707","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G307171064","display_name":null,"funder_award_id":"61872313","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G3413702245","display_name":null,"funder_award_id":"61872313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3416559179","display_name":null,"funder_award_id":"YZ2019133","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G3567117947","display_name":null,"funder_award_id":"YDJD201707","funder_id":"https://openalex.org/F4320324130","funder_display_name":"Yangzhou University"},{"id":"https://openalex.org/G3570863986","display_name":null,"funder_award_id":"YZ2018209","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322999","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04"},{"id":"https://openalex.org/F4320324130","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11"},{"id":"https://openalex.org/F4320326899","display_name":"State Key Laboratory of Ocean Engineering","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3003244550.pdf","grobid_xml":"https://content.openalex.org/works/W3003244550.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1207170489","https://openalex.org/W1498436455","https://openalex.org/W1710476689","https://openalex.org/W1834627138","https://openalex.org/W1959608418","https://openalex.org/W1974989824","https://openalex.org/W1993120651","https://openalex.org/W2012875423","https://openalex.org/W2019609318","https://openalex.org/W2041651562","https://openalex.org/W2064675550","https://openalex.org/W2112796928","https://openalex.org/W2116013899","https://openalex.org/W2125873654","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2330024298","https://openalex.org/W2343710769","https://openalex.org/W2377345170","https://openalex.org/W2414884753","https://openalex.org/W2512419914","https://openalex.org/W2557414982","https://openalex.org/W2559482845","https://openalex.org/W2611104282","https://openalex.org/W2727473013","https://openalex.org/W2738588019","https://openalex.org/W2739761758","https://openalex.org/W2748237226","https://openalex.org/W2756765209","https://openalex.org/W2769808985","https://openalex.org/W2791184993","https://openalex.org/W2798365772","https://openalex.org/W2890771025","https://openalex.org/W2906282392","https://openalex.org/W2907097116","https://openalex.org/W2909317247","https://openalex.org/W2921562060","https://openalex.org/W2951004968","https://openalex.org/W2962879692","https://openalex.org/W2963255313","https://openalex.org/W2963420272","https://openalex.org/W2963684088","https://openalex.org/W2963917315","https://openalex.org/W2964013315","https://openalex.org/W2982763192","https://openalex.org/W3043547428","https://openalex.org/W4234761190","https://openalex.org/W4249724384","https://openalex.org/W4295521014","https://openalex.org/W4298289240","https://openalex.org/W4301054805","https://openalex.org/W6600284362","https://openalex.org/W6629815555","https://openalex.org/W6637568146","https://openalex.org/W6640963894","https://openalex.org/W6684191040","https://openalex.org/W6685352114","https://openalex.org/W6735913928","https://openalex.org/W6740915507","https://openalex.org/W6746466744","https://openalex.org/W6748645028","https://openalex.org/W6752670383","https://openalex.org/W6757857098","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W3118801205","https://openalex.org/W2953246223","https://openalex.org/W4293320219","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2618858825","https://openalex.org/W2554314924","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W2366944513"],"abstract_inverted_index":{"Image":[0],"inpainting":[1,19,90],"aims":[2,97],"to":[3,135,149],"fill":[4,21],"missing":[5,23,49,92,171],"regions":[6,24],"of":[7,122,140,153],"a":[8],"damaged":[9],"image":[10,18,65],"with":[11,54,169],"plausibly":[12],"synthesized":[13],"content.":[14],"Existing":[15],"methods":[16],"for":[17,64,89,112],"either":[20],"the":[22,48,91,94,100,107,115,123,130,133,137,141,151],"by":[25],"borrowing":[26],"information":[27],"from":[28,36],"surrounding":[29],"areas":[30],"or":[31,43,53],"generating":[32],"semantically":[33,44],"coherent":[34],"content":[35,46],"region":[37,50],"context.":[38],"They":[39],"often":[40],"produce":[41],"ambiguous":[42],"incoherent":[45],"when":[47],"is":[51,87,110,118,125],"large":[52],"complex":[55],"structures.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,144],"present":[61],"an":[62,126],"approach":[63],"inpainting.":[66],"The":[67,85,120],"completion":[68,176],"model":[69,166],"based":[70],"on":[71,156],"our":[72,164],"proposed":[73,165],"algorithm":[74],"contains":[75],"one":[76,78,82],"generator,":[77],"global":[79,95,104],"discriminator,":[80],"and":[81,106,159,173],"local":[83,108],"discriminator.":[84],"generator":[86,124,134],"responsible":[88,111],"area,":[93],"discriminator":[96,109],"evaluating":[98],"whether":[99,114],"repair":[101,116],"result":[102],"has":[103],"consistency,":[105],"identifying":[113],"area":[117],"correct.":[119],"architecture":[121],"auto-encoder.":[127],"We":[128],"use":[129,145],"skip-connection":[131],"in":[132],"improve":[136],"prediction":[138],"power":[139],"model.":[142],"Also,":[143],"Wasserstein":[146],"GAN":[147],"loss":[148],"ensure":[150],"stability":[152],"training.":[154],"Experiments":[155],"CelebA":[157],"dataset":[158,161],"LFW":[160],"demonstrate":[162],"that":[163],"can":[167],"deal":[168],"large-scale":[170],"pixels":[172],"generate":[174],"realistic":[175],"results.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}