{"id":"https://openalex.org/W4312835408","doi":"https://doi.org/10.1109/access.2022.3227387","title":"Multi-Reception and Multi-Gradient Discriminator for Image Inpainting","display_name":"Multi-Reception and Multi-Gradient Discriminator for Image Inpainting","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312835408","doi":"https://doi.org/10.1109/access.2022.3227387"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3227387","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3227387","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09973296.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/ielx7/6287639/6514899/09973296.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008562687","display_name":"Wenli Huang","orcid":"https://orcid.org/0000-0002-8636-044X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Huang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078615880","display_name":"Ye Deng","orcid":"https://orcid.org/0000-0003-4616-3318"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Deng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009616191","display_name":"S. Hui","orcid":"https://orcid.org/0000-0003-1724-7862"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Hui","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100746487","display_name":"Jinjun Wang","orcid":"https://orcid.org/0000-0002-9434-0617"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjun Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-9434-0617","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.162,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42560158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"10","issue":null,"first_page":"131579","last_page":"131591"},"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":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/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":0.9828000068664551,"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":0.9174538850784302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8118371963500977},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.8044246435165405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7371612787246704},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.605832040309906},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5923868417739868},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5779227614402771},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5545474886894226},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5488177537918091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5278126001358032},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4952777922153473},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4895356595516205},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4346330761909485},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08181950449943542}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9174538850784302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118371963500977},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8044246435165405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7371612787246704},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.605832040309906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5923868417739868},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5779227614402771},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5545474886894226},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5488177537918091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5278126001358032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4952777922153473},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4895356595516205},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4346330761909485},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08181950449943542},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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.2022.3227387","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3227387","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09973296.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:d7007930c42f49f585342a17bffee0c8","is_oa":false,"landing_page_url":"https://doaj.org/article/d7007930c42f49f585342a17bffee0c8","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 131579-131591 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3227387","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3227387","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09973296.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":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G8055637958","display_name":null,"funder_award_id":"2017YFA0700800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312835408.pdf","grobid_xml":"https://content.openalex.org/works/W4312835408.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1975049209","https://openalex.org/W1993120651","https://openalex.org/W1994619529","https://openalex.org/W2029411311","https://openalex.org/W2093212899","https://openalex.org/W2097117768","https://openalex.org/W2100415658","https://openalex.org/W2105038642","https://openalex.org/W2115273023","https://openalex.org/W2183341477","https://openalex.org/W2331128040","https://openalex.org/W2552611751","https://openalex.org/W2732026016","https://openalex.org/W2738588019","https://openalex.org/W2796286534","https://openalex.org/W2798365772","https://openalex.org/W2801693445","https://openalex.org/W2891485065","https://openalex.org/W2896434438","https://openalex.org/W2907097116","https://openalex.org/W2922509574","https://openalex.org/W2939839057","https://openalex.org/W2963073614","https://openalex.org/W2963231084","https://openalex.org/W2963255313","https://openalex.org/W2963420272","https://openalex.org/W2963917315","https://openalex.org/W2964148878","https://openalex.org/W2964350391","https://openalex.org/W2965965567","https://openalex.org/W2967359135","https://openalex.org/W2969109746","https://openalex.org/W2981682056","https://openalex.org/W2982763192","https://openalex.org/W2985764327","https://openalex.org/W2989207674","https://openalex.org/W2990886896","https://openalex.org/W2994664512","https://openalex.org/W2998075999","https://openalex.org/W3010665766","https://openalex.org/W3035231706","https://openalex.org/W3035512475","https://openalex.org/W3043547428","https://openalex.org/W3089055391","https://openalex.org/W3096831136","https://openalex.org/W3106817660","https://openalex.org/W3118356434","https://openalex.org/W3122131940","https://openalex.org/W3130440474","https://openalex.org/W3135339232","https://openalex.org/W3157141280","https://openalex.org/W3166762869","https://openalex.org/W3173293964","https://openalex.org/W3175375202","https://openalex.org/W3192296477","https://openalex.org/W4285112250","https://openalex.org/W4285120484","https://openalex.org/W4289656847","https://openalex.org/W4294643831","https://openalex.org/W4313051036","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6729939709","https://openalex.org/W6739901393","https://openalex.org/W6745560452","https://openalex.org/W6750942122","https://openalex.org/W6752437260","https://openalex.org/W6755053353","https://openalex.org/W6757857098","https://openalex.org/W6765779288","https://openalex.org/W6766978945","https://openalex.org/W6771150436","https://openalex.org/W6791190667"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W2366944513","https://openalex.org/W4381885966","https://openalex.org/W2969399009","https://openalex.org/W4398186750"],"abstract_inverted_index":{"Many":[0],"deep":[1],"learning":[2],"methods":[3],"for":[4],"image":[5,157],"inpainting":[6],"rely":[7],"on":[8,142],"the":[9,29,35,42,125,129],"encoder-decoder":[10],"architecture":[11],"to":[12,60,85,110,127,131],"estimate":[13],"missing":[14],"contents.":[15,51,140,158],"When":[16],"guidance":[17],"information":[18],"from":[19],"uncorrupted":[20],"regions":[21],"could":[22,44],"not":[23,45],"be":[24],"adequately":[25],"represented":[26],"or":[27,38,49],"utilized,":[28],"encoder":[30],"may":[31],"have":[32],"difficulty":[33],"handling":[34],"rich":[36],"surrounding":[37],"background":[39],"pixels,":[40],"and":[41,64,78,137,155],"decoder":[43],"recover":[46],"visually":[47],"sophisticated":[48,112],"realistic":[50,154],"This":[52],"paper":[53],"proposes":[54],"an":[55],"effective":[56],"multi-scale":[57,80],"optimization":[58],"network":[59],"alleviate":[61],"these":[62],"issues":[63],"generate":[65],"coherent":[66,156],"results":[67,133],"with":[68,134],"fine":[69],"details.":[70],"It":[71],"encodes":[72],"multi-receptive":[73],"fields":[74,109],"feature":[75,93],"maps":[76,94],"adaptively":[77,103],"puts":[79],"outputs":[81],"into":[82],"a":[83,91,116],"discriminator":[84,126],"guide":[86,128],"training.":[87],"Specifically,":[88],"we":[89],"propose":[90],"Multi-Receptive":[92],"&":[95],"masks":[96],"Selective":[97],"Fusion":[98],"(MRSF)":[99],"operator":[100],"that":[101,147],"can":[102,151],"extract":[104],"features":[105,123],"at":[106],"different":[107],"receptive":[108],"handle":[111],"destroyed":[113],"images.":[114],"Then":[115],"Multi-Gradients":[117],"Discriminator":[118],"(MGD)":[119],"module":[120],"uses":[121],"intermediate":[122],"of":[124],"generator":[130],"produce":[132],"natural":[135],"textures":[136],"semantically":[138],"real":[139],"Experiments":[141],"several":[143],"benchmark":[144],"datasets":[145],"demonstrate":[146],"our":[148],"proposed":[149],"method":[150],"synthesize":[152],"more":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}