{"id":"https://openalex.org/W4385338853","doi":"https://doi.org/10.1109/tip.2023.3298536","title":"MagConv: Mask-Guided Convolution for Image Inpainting","display_name":"MagConv: Mask-Guided Convolution for Image Inpainting","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385338853","doi":"https://doi.org/10.1109/tip.2023.3298536","pmid":"https://pubmed.ncbi.nlm.nih.gov/37506025"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3298536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3298536","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5063045382","display_name":"Xuexin Yu","orcid":"https://orcid.org/0009-0001-8151-1210"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuexin Yu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-8151-1210","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647349","display_name":"Long Xu","orcid":"https://orcid.org/0000-0002-9286-2876"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Xu","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","National Space Science Center, State Key Laboratory of Solar Space Weather, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9286-2876","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"National Space Science Center, State Key Laboratory of Solar Space Weather, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059344854","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-4346-8696"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4346-8696","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7333-9975","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6947,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92055923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"4716","last_page":"4727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9952999949455261,"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":0.8599239587783813},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7850368618965149},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7635421752929688},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7132313251495361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5848844051361084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.487444669008255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4680326282978058},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43719780445098877},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.43513861298561096},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4020195007324219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35809391736984253},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.353974312543869},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23026752471923828},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07150334119796753},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0670064389705658}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8599239587783813},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7850368618965149},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7635421752929688},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7132313251495361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5848844051361084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.487444669008255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4680326282978058},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43719780445098877},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.43513861298561096},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4020195007324219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35809391736984253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.353974312543869},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23026752471923828},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07150334119796753},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0670064389705658}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3298536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3298536","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37506025","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37506025","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1851562397","display_name":"\u57fa\u4e8e\u81ea\u9002\u5e94\u5c3a\u5ea6CLEAN\u53cd\u5377\u79ef\u7684\u5927\u89c6\u573a\u5c04\u7535\u5929\u6587\u56fe\u50cf\u9ad8\u52a8\u6001\u8303\u56f4\u91cd\u5efa\u7814\u7a76","funder_award_id":"11963003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2173553624","display_name":null,"funder_award_id":"2021YFA1600504","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3616255173","display_name":null,"funder_award_id":"11790305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5584567541","display_name":null,"funder_award_id":"2022YFE0133700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5590164927","display_name":null,"funder_award_id":"12273007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7752113889","display_name":null,"funder_award_id":"12203023","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":47,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1836465849","https://openalex.org/W1993120651","https://openalex.org/W2100415658","https://openalex.org/W2133665775","https://openalex.org/W2155175457","https://openalex.org/W2161952492","https://openalex.org/W2163605009","https://openalex.org/W2174817186","https://openalex.org/W2295936755","https://openalex.org/W2331128040","https://openalex.org/W2475287302","https://openalex.org/W2502312327","https://openalex.org/W2732026016","https://openalex.org/W2738588019","https://openalex.org/W2798365772","https://openalex.org/W2801693445","https://openalex.org/W2962785568","https://openalex.org/W2963420272","https://openalex.org/W2964148878","https://openalex.org/W2965965567","https://openalex.org/W2966461575","https://openalex.org/W2981689412","https://openalex.org/W2982763192","https://openalex.org/W2985764327","https://openalex.org/W2991377405","https://openalex.org/W3026446890","https://openalex.org/W3035512475","https://openalex.org/W3043547428","https://openalex.org/W3106725490","https://openalex.org/W3118356434","https://openalex.org/W3144890709","https://openalex.org/W3157141280","https://openalex.org/W3203538104","https://openalex.org/W4240726888","https://openalex.org/W4301206121","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6724804524","https://openalex.org/W6750942122","https://openalex.org/W6765779288","https://openalex.org/W6780226713"],"related_works":["https://openalex.org/W2907830442","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W2125921314","https://openalex.org/W4390971171","https://openalex.org/W4385338604","https://openalex.org/W1977427710","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Standard":[0],"convolution":[1,27,74,89,104,140,175],"applied":[2],"to":[3,8,106,126,139,157],"image":[4,68,94,100],"inpainting":[5],"would":[6],"lead":[7],"color":[9],"discrepancy":[10],"and":[11,16,41,47,67,76,99,111,136,179,194,202],"blurriness":[12],"for":[13,93],"treating":[14],"valid":[15,40,45],"invalid/hole":[17],"regions":[18],"without":[19,72],"difference,":[20],"which":[21],"was":[22,34],"partially":[23],"amended":[24],"by":[25,142],"partial":[26],"(PConv).":[28],"In":[29,64,84,96,117],"PConv,":[30,132],"a":[31,87,103,113,119,149],"binary/hard":[32],"mask":[33,66,98,151],"maintained":[35],"as":[36],"an":[37,61],"indicator":[38],"of":[39,60,131,152,160,165,189],"invalid":[42,48,143],"pixels,":[43],"where":[44],"pixels":[46,49],"were":[50,70],"treated":[51],"differently.":[52],"However,":[53],"it":[54],"can":[55,185],"not":[56,170],"describe":[57],"validity":[58,163,188],"degree":[59,164],"impaired":[62],"pixel.":[63,167],"addition,":[65,118],"paths":[69,101],"separated,":[71],"sharing":[73],"kernel":[75,105,176],"exchanging":[77],"information":[78],"mutually,":[79],"reducing":[80],"data":[81],"utilization":[82],"efficiency.":[83],"this":[85],"paper,":[86],"mask-guided":[88],"(MagConv)":[90],"is":[91,124],"proposed":[92],"inpainting.":[95],"MagConv,":[97],"share":[102],"interact":[107],"with":[108],"each":[109,166,190],"other":[110],"form":[112],"joint":[114],"optimization":[115],"scheme.":[116],"learnable":[120],"piecewise":[121],"activation":[122],"function":[123,130],"raised":[125],"replace":[127],"the":[128,162,174,187,198],"reciprocal":[129],"providing":[133],"more":[134],"flexible":[135],"adaptable":[137],"compensation":[138],"contaminated":[141],"pixels.":[144],"It":[145],"also":[146],"results":[147],"in":[148],"soft":[150],"floating-point":[153],"coefficients":[154],"from":[155],"0":[156],"1":[158],"capable":[159],"indicating":[161],"Last":[168],"but":[169],"least,":[171],"MagConv":[172],"splits":[173],"into":[177],"positive":[178],"negative":[180],"weights":[181],"so":[182],"that":[183,206],"they":[184],"evaluate":[186],"pixel":[191],"faithfully.":[192],"Qualitative":[193],"quantitative":[195],"experiments":[196],"on":[197],"CelebA,":[199],"Paris":[200],"StreetView":[201],"Places2":[203],"datasets":[204],"demonstrate":[205],"our":[207],"method":[208],"achieves":[209],"favorable":[210],"visual":[211],"quality":[212],"against":[213],"state-of-the-art":[214],"approaches.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
