{"id":"https://openalex.org/W4225131693","doi":"https://doi.org/10.1142/s0218126622502085","title":"A Gated Convolution and Self-Attention-Based Pyramid Image Inpainting Network","display_name":"A Gated Convolution and Self-Attention-Based Pyramid Image Inpainting Network","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225131693","doi":"https://doi.org/10.1142/s0218126622502085"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126622502085","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622502085","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"},"type":"article","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/A5112115755","display_name":"Hong-an Li","orcid":"https://orcid.org/0000-0003-1805-8430"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-an Li","raw_affiliation_strings":["Capinfo Company Ltd., Beijing 100010, P.\u00a0R.\u00a0China","College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Capinfo Company Ltd., Beijing 100010, P.\u00a0R.\u00a0China","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077519825","display_name":"Guanyi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyi Wang","raw_affiliation_strings":["College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012071388","display_name":"Kun Gao","orcid":"https://orcid.org/0000-0003-2284-2375"},"institutions":[{"id":"https://openalex.org/I4210140166","display_name":"Education Department of Jiangxi Province","ror":"https://ror.org/04d8xwh61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210140166"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Gao","raw_affiliation_strings":["Department of Industry and Information Technology of Jiangxi Province, Nanchang 330036, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Department of Industry and Information Technology of Jiangxi Province, Nanchang 330036, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210140166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363275","display_name":"Haipeng Li","orcid":"https://orcid.org/0000-0003-2842-9012"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Li","raw_affiliation_strings":["Capinfo Company Ltd., Beijing 100010, P.\u00a0R.\u00a0China","College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Capinfo Company Ltd., Beijing 100010, P.\u00a0R.\u00a0China","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012071388"],"corresponding_institution_ids":["https://openalex.org/I4210140166"],"apc_list":null,"apc_paid":null,"fwci":0.2744,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51181962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"31","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9876999855041504,"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":0.9840999841690063,"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/inpainting","display_name":"Inpainting","score":0.8962174654006958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672654390335083},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7145101428031921},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6628418564796448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6612727046012878},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5983266234397888},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5418544411659241},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.537828266620636},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5244189500808716},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47287553548812866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47120898962020874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46264469623565674},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4364294707775116},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4111480414867401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14290276169776917},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14067530632019043}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8962174654006958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672654390335083},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7145101428031921},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6628418564796448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6612727046012878},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5983266234397888},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5418544411659241},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.537828266620636},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5244189500808716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47287553548812866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47120898962020874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46264469623565674},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4364294707775116},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4111480414867401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14290276169776917},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14067530632019043},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126622502085","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622502085","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1483874305","https://openalex.org/W1993120651","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2557414982","https://openalex.org/W2559655401","https://openalex.org/W2612690371","https://openalex.org/W2798365772","https://openalex.org/W2884041121","https://openalex.org/W2963231084","https://openalex.org/W2963255313","https://openalex.org/W2965965567","https://openalex.org/W2982763192","https://openalex.org/W2999905431","https://openalex.org/W3034482833","https://openalex.org/W3034528136","https://openalex.org/W3088034552","https://openalex.org/W3091074232","https://openalex.org/W3116036704","https://openalex.org/W3126643904","https://openalex.org/W3147822227","https://openalex.org/W3161325351","https://openalex.org/W3163827866","https://openalex.org/W3168798228","https://openalex.org/W3170204166","https://openalex.org/W3170518756","https://openalex.org/W3170888612","https://openalex.org/W3177624059","https://openalex.org/W3186745756","https://openalex.org/W3186980293","https://openalex.org/W3189313199","https://openalex.org/W3190219563","https://openalex.org/W3201410046","https://openalex.org/W3201584011","https://openalex.org/W3202194958","https://openalex.org/W3202810279","https://openalex.org/W3203245760","https://openalex.org/W3212845011","https://openalex.org/W3214009653","https://openalex.org/W3214309058","https://openalex.org/W3215010342","https://openalex.org/W3215141990","https://openalex.org/W3217476834"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W4242046654","https://openalex.org/W1504109132","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W3174923100","https://openalex.org/W2244018504","https://openalex.org/W4298074124","https://openalex.org/W2003548600"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,42,51,56,61,79,90,108,112,118,131,150,156,169,178,182,187,192],"problems":[3],"of":[4,105,133,159,181],"imperfect":[5],"inpainting":[6,9,25],"edges,":[7],"mismatching":[8],"content":[10,84,170],"and":[11,20,28,37,48,55,59,73,82,86,99,111,143,149,168,171,176,190],"slow":[12],"training":[13],"caused":[14],"by":[15,140],"large":[16],"network":[17,40,43,193],"model":[18],"parameters":[19],"high":[21],"requirements":[22],"for":[23,78,89],"image":[24,138,164],"edge":[26],"consistency":[27],"semantic":[29,161],"integrity,":[30],"this":[31,184],"paper":[32],"designs":[33],"a":[34,69,93],"gated":[35,52,141],"convolution":[36,53,142],"self-attention-based":[38],"pyramid":[39,57,144],"(GAP-Net),":[41],"is":[44,115],"based":[45],"on":[46],"U-Net,":[47],"it":[49],"integrates":[50],"method":[54,110,114,128,185],"loss":[58,85,88,173],"changes":[60],"feature":[62],"extraction":[63,132],"strategy.":[64],"In":[65],"addition,":[66],"we":[67],"design":[68],"self-attention":[70],"mechanism":[71,147],"module":[72,77,148,153],"an":[74],"attention":[75,151],"transfer":[76,152],"network,":[80,91,183],"designing":[81],"adding":[83],"perceptual":[87,172],"generating":[92],"new":[94],"data":[95],"distribution":[96],"between":[97],"generated":[98],"real":[100],"images.":[101],"The":[102,122],"comparative":[103],"analysis":[104],"experiment":[106],"with":[107],"PEN-Net":[109],"Gated":[113],"conducted":[116],"in":[117],"same":[119],"experimental":[120,123],"environment.":[121],"results":[124],"show":[125],"that":[126],"our":[127],"can":[129,154,174],"increase":[130],"useful":[134],"information":[135,165],"from":[136],"damaged":[137],"areas":[139],"loss.":[145],"Self-attention":[146],"guide":[155],"conversion":[157],"process":[158],"high-level":[160],"features":[162],"to":[163],"more":[166],"accurately,":[167],"accelerate":[175],"improve":[177],"learning":[179,194],"ability":[180],"improves":[186],"repair":[188],"effect":[189],"accelerates":[191],"speed.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}