{"id":"https://openalex.org/W4285112250","doi":"https://doi.org/10.1109/access.2022.3186009","title":"Image Inpainting Based on Interactive Separation Network and Progressive Reconstruction Algorithm","display_name":"Image Inpainting Based on Interactive Separation Network and Progressive Reconstruction Algorithm","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285112250","doi":"https://doi.org/10.1109/access.2022.3186009"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3186009","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3186009","pdf_url":null,"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://doi.org/10.1109/access.2022.3186009","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077740878","display_name":"Jun Gong","orcid":"https://orcid.org/0000-0003-3132-6321"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Gong","raw_affiliation_strings":["Information System and Security and Countermeasures Experimental Center, Beijing Institute of Technology, Beijing, China","Information System and Security &#x0026","School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information System and Security and Countermeasures Experimental Center, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Information System and Security &#x0026","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467828","display_name":"Siyuan Li","orcid":"https://orcid.org/0000-0002-2354-4233"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Li","raw_affiliation_strings":["School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2354-4233","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655815","display_name":"Shiyu Chen","orcid":"https://orcid.org/0000-0001-8715-0025"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Chen","raw_affiliation_strings":["School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021683040","display_name":"Liang Nie","orcid":"https://orcid.org/0000-0003-4346-4908"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Nie","raw_affiliation_strings":["School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4346-4908","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101461157","display_name":"Xin Cheng","orcid":"https://orcid.org/0000-0001-8680-578X"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xin Cheng","raw_affiliation_strings":["Graduate School of Science and Engineering, Hosei University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019348755","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-2408-366X"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Graduate School of Science and Engineering, Hosei University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2408-366X","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049814360","display_name":"Wenxin Yu","orcid":"https://orcid.org/0000-0002-6093-5516"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Yu","raw_affiliation_strings":["School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"raw_orcid":"https://orcid.org/0000-0002-6093-5516","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"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":0.4061,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59110212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"10","issue":null,"first_page":"67814","last_page":"67825"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9987000226974487,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9912999868392944,"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":0.9850894212722778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7080873847007751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6985435485839844},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6650896072387695},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5975844860076904},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5272359251976013},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4683990180492401},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4648624360561371},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44944125413894653},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4189722239971161},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.410846084356308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40505775809288025}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9850894212722778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7080873847007751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6985435485839844},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6650896072387695},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5975844860076904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5272359251976013},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4683990180492401},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4648624360561371},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44944125413894653},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4189722239971161},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.410846084356308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40505775809288025},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3186009","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3186009","pdf_url":null,"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:4d7a5de32d154d40a602865947c1eb94","is_oa":false,"landing_page_url":"https://doaj.org/article/4d7a5de32d154d40a602865947c1eb94","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 67814-67825 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3186009","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3186009","pdf_url":null,"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":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G488172452","display_name":null,"funder_award_id":"2020-0103-1-2","funder_id":"https://openalex.org/F4320323970","funder_display_name":"Ministry of Industry and Information Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W345598540","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1811254738","https://openalex.org/W1834627138","https://openalex.org/W1885185971","https://openalex.org/W1895577753","https://openalex.org/W1901129140","https://openalex.org/W2039240409","https://openalex.org/W2101926813","https://openalex.org/W2133665775","https://openalex.org/W2146337213","https://openalex.org/W2147800946","https://openalex.org/W2182295979","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2476548250","https://openalex.org/W2732026016","https://openalex.org/W2738588019","https://openalex.org/W2785678896","https://openalex.org/W2798365772","https://openalex.org/W2899771611","https://openalex.org/W2916798096","https://openalex.org/W2952686466","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2966461575","https://openalex.org/W2982763192","https://openalex.org/W3023917647","https://openalex.org/W3034208634","https://openalex.org/W3035512475","https://openalex.org/W3043547428","https://openalex.org/W3103883494","https://openalex.org/W3106250896","https://openalex.org/W3108554146","https://openalex.org/W3112311032","https://openalex.org/W3202418656","https://openalex.org/W3203538104","https://openalex.org/W4293398859","https://openalex.org/W4293869917","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638742206","https://openalex.org/W6639824700","https://openalex.org/W6681686951","https://openalex.org/W6730095352","https://openalex.org/W6748497354","https://openalex.org/W6748582592","https://openalex.org/W6756040250","https://openalex.org/W6777185607","https://openalex.org/W6781049795","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W3027110395","https://openalex.org/W3109174731","https://openalex.org/W4285125754"],"abstract_inverted_index":{"Recently,":[0],"learning-based":[1],"image":[2,26,56,158,162],"inpainting":[3,34,57,112,127,159],"has":[4,31],"gained":[5],"much":[6],"attention.":[7],"It":[8],"widely":[9],"utilizes":[10],"an":[11,54],"auto-encoder":[12],"structure":[13],"and":[14,52,74,101,119,140],"can":[15,143],"obtain":[16],"compact":[17],"feature":[18],"representation":[19,41],"in":[20,92,110,128,161],"the":[21,39,71,76,99,111,126,129,146,156],"encoder":[22],"to":[23,43,48,97,106,124],"achieve":[24,53],"high-quality":[25],"inpainting.":[27],"Although":[28],"this":[29,50,59,83],"approach":[30],"achieved":[32],"encouraging":[33],"results,":[35],"it":[36],"inevitably":[37],"reduces":[38],"high-resolution":[40,72],"due":[42],"interval":[44],"downsampling.":[45],"In":[46],"order":[47],"solve":[49],"problem":[51],"excellent":[55],"effect,":[58],"paper":[60,84],"proposes":[61],"a":[62,117],"brand-new":[63],"generative":[64],"network,":[65],"Interactive":[66],"Separation":[67],"Network,":[68],"which":[69],"retains":[70],"information":[73],"extracts":[75],"semantic":[77],"features":[78],"from":[79],"corrupted":[80,108],"images.":[81,150],"Furthermore,":[82],"also":[85],"discusses":[86],"network":[87,139],"designs":[88],"with":[89],"different":[90,93],"complexity":[91],"application":[94],"scenarios.":[95],"Finally,":[96],"improve":[98,145],"effectiveness":[100],"robustness":[102],"of":[103,148],"our":[104,136],"proposal":[105],"large":[107],"regions":[109],"image,":[113],"we":[114],"further":[115],"propose":[116],"flexible":[118],"highly":[120],"reusable":[121],"reconstruction":[122,141],"scheme":[123,142],"complete":[125],"prediction":[130],"process":[131],"gradually.":[132],"Experiments":[133],"show":[134],"that":[135],"proposed":[137,152],"generation":[138],"significantly":[144,154],"quality":[147],"repaired":[149],"The":[151],"method":[153],"outperforms":[155],"state-of-the-art":[157],"approaches":[160],"quality.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}