{"id":"https://openalex.org/W3035251567","doi":"https://doi.org/10.1109/tcsvt.2020.3001267","title":"E2I: Generative Inpainting From Edge to Image","display_name":"E2I: Generative Inpainting From Edge to Image","publication_year":2020,"publication_date":"2020-06-10","ids":{"openalex":"https://openalex.org/W3035251567","doi":"https://doi.org/10.1109/tcsvt.2020.3001267","mag":"3035251567"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3001267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3001267","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5017490817","display_name":"Shunxin Xu","orcid":"https://orcid.org/0000-0002-7342-0124"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunxin Xu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008612863","display_name":"Zhiwei Xiong","orcid":"https://orcid.org/0000-0002-9787-7460"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Xiong","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":5.5583,"has_fulltext":false,"cited_by_count":101,"citation_normalized_percentile":{"value":0.96913233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"31","issue":"4","first_page":"1308","last_page":"1322"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9698944091796875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.791990339756012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6915168762207031},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6332054138183594},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.620675265789032},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6130492091178894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5616071820259094},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.541737973690033},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48801079392433167},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47029468417167664},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46138790249824524},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41662976145744324},{"id":"https://openalex.org/keywords/filling-in","display_name":"Filling-in","score":0.41650691628456116},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34237074851989746}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9698944091796875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.791990339756012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915168762207031},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6332054138183594},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.620675265789032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6130492091178894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5616071820259094},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.541737973690033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48801079392433167},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47029468417167664},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46138790249824524},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41662976145744324},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.41650691628456116},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34237074851989746},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.3001267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3001267","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2493454646","display_name":null,"funder_award_id":"2018YFA0701603","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3646006771","display_name":null,"funder_award_id":"61772483","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4725545030","display_name":null,"funder_award_id":"61931014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1522301498","https://openalex.org/W1560055586","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1836465849","https://openalex.org/W1924619199","https://openalex.org/W1993120651","https://openalex.org/W2012875423","https://openalex.org/W2016331656","https://openalex.org/W2064309976","https://openalex.org/W2099471712","https://openalex.org/W2105038642","https://openalex.org/W2108598243","https://openalex.org/W2110158442","https://openalex.org/W2116013899","https://openalex.org/W2130639964","https://openalex.org/W2138715174","https://openalex.org/W2145023731","https://openalex.org/W2147901574","https://openalex.org/W2158315003","https://openalex.org/W2161952492","https://openalex.org/W2162449045","https://openalex.org/W2167994192","https://openalex.org/W2171011251","https://openalex.org/W2173520492","https://openalex.org/W2295936755","https://openalex.org/W2344939607","https://openalex.org/W2413948113","https://openalex.org/W2517325737","https://openalex.org/W2557414982","https://openalex.org/W2732026016","https://openalex.org/W2738588019","https://openalex.org/W2791679901","https://openalex.org/W2796286534","https://openalex.org/W2798365772","https://openalex.org/W2799277064","https://openalex.org/W2900538548","https://openalex.org/W2948500402","https://openalex.org/W2962872526","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963270367","https://openalex.org/W2963420272","https://openalex.org/W2963659230","https://openalex.org/W2963660453","https://openalex.org/W2963684088","https://openalex.org/W2963917315","https://openalex.org/W2963920537","https://openalex.org/W2963981733","https://openalex.org/W2964121744","https://openalex.org/W2990984982","https://openalex.org/W2991377405","https://openalex.org/W3001217199","https://openalex.org/W3043547428","https://openalex.org/W3103912303","https://openalex.org/W4240726888","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6640174519","https://openalex.org/W6684993803","https://openalex.org/W6685352114","https://openalex.org/W6735913928","https://openalex.org/W6750997056","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2907830442","https://openalex.org/W2964954556","https://openalex.org/W2897194722","https://openalex.org/W4221141925","https://openalex.org/W2350879130","https://openalex.org/W2731478784","https://openalex.org/W4293869205","https://openalex.org/W2166862237","https://openalex.org/W1523707610","https://openalex.org/W2416145745"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"methods":[2,26,41],"especially":[3,57],"using":[4],"convolutional":[5,76],"neural":[6],"network":[7,12],"(CNN)":[8],"and":[9,52,102,145,171],"generative":[10,112],"adversarial":[11],"(GAN)":[13],"have":[14,42],"achieved":[15],"certain":[16],"success":[17],"for":[18],"the":[19,31,34,55,59,69,75,81,99,138,142,148,152,155,161,179,182,190],"task":[20,83],"of":[21,131,154,193],"image":[22,47,92,167],"inpainting.":[23,78],"The":[24],"previous":[25],"usually":[27],"try":[28],"to":[29,97,116,126],"generate":[30,147],"content":[32],"in":[33,44,141,196],"missing":[35,60,139,149],"areas":[36,140],"from":[37,114],"scratch.":[38],"However,":[39],"these":[40],"difficulty":[43],"producing":[45,197],"salient":[46],"structures":[48],"that":[49],"appear":[50],"natural":[51],"consistent":[53],"with":[54,151,178],"neighborhood,":[56],"when":[58],"area":[61],"is":[62,109],"large.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,119,136],"address":[68],"challenge":[70],"by":[71],"introducing":[72],"edges":[73],"into":[74,84],"GAN-based":[77,104],"We":[79,94,159,173],"split":[80],"inpainting":[82,113,200],"two":[85,100],"steps:":[86],"first":[87],"edge":[88,115,124],"generation,":[89],"then":[90,135],"edge-based":[91],"generation.":[93],"adopt":[95,120],"CNN":[96],"accomplish":[98],"steps":[101],"use":[103],"training,":[105],"thus":[106],"our":[107,176,194],"method":[108,163,177,195],"named":[110],"E2I:":[111],"image.":[117],"Specifically,":[118],"a":[121],"deep":[122],"network-based":[123],"detector":[125],"achieve":[127],"an":[128,132],"edgeness":[129,143,157],"map":[130],"incomplete":[133],"image,":[134],"fill-in":[137],"map,":[144],"finally":[146],"pixels":[150],"assistance":[153],"complete":[156],"map.":[158],"verify":[160],"proposed":[162],"on":[164,181],"three":[165],"challenging":[166],"datasets:":[168],"Places2,":[169],"ImageNet,":[170],"CelebA.":[172],"also":[174],"compare":[175],"state-of-the-arts":[180],"Places2":[183],"test":[184],"set.":[185],"Our":[186],"experimental":[187],"results":[188],"demonstrate":[189],"superior":[191],"performance":[192],"more":[198],"plausible":[199],"results.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
