{"id":"https://openalex.org/W3202296139","doi":"https://doi.org/10.1109/tcsvt.2022.3188169","title":"Generative Memory-Guided Semantic Reasoning Model for Image Inpainting","display_name":"Generative Memory-Guided Semantic Reasoning Model for Image Inpainting","publication_year":2022,"publication_date":"2022-07-04","ids":{"openalex":"https://openalex.org/W3202296139","doi":"https://doi.org/10.1109/tcsvt.2022.3188169","mag":"3202296139"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3188169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3188169","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/A5102983244","display_name":"Xin Feng","orcid":"https://orcid.org/0000-0002-9187-5552"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Feng","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078487642","display_name":"Wenjie Pei","orcid":"https://orcid.org/0000-0001-8117-2696"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Pei","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014556254","display_name":"Fengjun Li","orcid":"https://orcid.org/0000-0003-4079-2228"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengjun Li","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101523298","display_name":"Fanglin Chen","orcid":"https://orcid.org/0000-0002-9193-5412"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanglin Chen","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102983244"],"corresponding_institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.3152,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89505954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"32","issue":"11","first_page":"7432","last_page":"7447"},"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":0.9545000195503235,"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":0.9427000284194946,"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":0.8553993701934814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418013215065002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7255037426948547},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5348630547523499},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5312222242355347},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.519991934299469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45176225900650024},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.45105448365211487},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44994157552719116},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4312405586242676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35206079483032227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3499431014060974},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3356187343597412},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.0859467089176178}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8553993701934814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418013215065002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7255037426948547},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5348630547523499},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5312222242355347},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.519991934299469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45176225900650024},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.45105448365211487},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44994157552719116},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4312405586242676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35206079483032227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3499431014060974},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3356187343597412},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0859467089176178},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3188169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3188169","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":[],"awards":[{"id":"https://openalex.org/G5694134097","display_name":null,"funder_award_id":"JCYJ20210324132210025","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G5726720604","display_name":null,"funder_award_id":"62176077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5832365334","display_name":null,"funder_award_id":"62006060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6652300243","display_name":null,"funder_award_id":"U2013210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7127903705","display_name":null,"funder_award_id":"2021A1515012528","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7346994080","display_name":null,"funder_award_id":"2022A1515010306","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7423272494","display_name":null,"funder_award_id":"2019Bl515120055","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8381241804","display_name":null,"funder_award_id":"2020N046","funder_id":"https://openalex.org/F4320335770","funder_display_name":"Shenzhen Technical Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335770","display_name":"Shenzhen Technical Project","ror":null},{"id":"https://openalex.org/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1959608418","https://openalex.org/W1967577110","https://openalex.org/W1993120651","https://openalex.org/W1999360130","https://openalex.org/W2055132753","https://openalex.org/W2099471712","https://openalex.org/W2100415658","https://openalex.org/W2105038642","https://openalex.org/W2113404166","https://openalex.org/W2133665775","https://openalex.org/W2174817186","https://openalex.org/W2184016288","https://openalex.org/W2295936755","https://openalex.org/W2331128040","https://openalex.org/W2502312327","https://openalex.org/W2611104282","https://openalex.org/W2732026016","https://openalex.org/W2752782242","https://openalex.org/W2785678896","https://openalex.org/W2796286534","https://openalex.org/W2798365772","https://openalex.org/W2803418063","https://openalex.org/W2955273087","https://openalex.org/W2961363059","https://openalex.org/W2962760235","https://openalex.org/W2962785568","https://openalex.org/W2963255313","https://openalex.org/W2963270367","https://openalex.org/W2963403868","https://openalex.org/W2963420272","https://openalex.org/W2963420686","https://openalex.org/W2963836885","https://openalex.org/W2964121744","https://openalex.org/W2964125708","https://openalex.org/W2964148878","https://openalex.org/W2965965567","https://openalex.org/W2974497444","https://openalex.org/W2981682056","https://openalex.org/W2982389402","https://openalex.org/W2982763192","https://openalex.org/W2985764327","https://openalex.org/W2989207674","https://openalex.org/W2990886896","https://openalex.org/W2991377405","https://openalex.org/W2997669187","https://openalex.org/W2998075999","https://openalex.org/W3006683596","https://openalex.org/W3026446890","https://openalex.org/W3034482833","https://openalex.org/W3035002246","https://openalex.org/W3035251567","https://openalex.org/W3035426499","https://openalex.org/W3035512475","https://openalex.org/W3035574324","https://openalex.org/W3043547428","https://openalex.org/W3096079830","https://openalex.org/W3108554146","https://openalex.org/W3122887115","https://openalex.org/W3187532107","https://openalex.org/W3193508667","https://openalex.org/W3203538104","https://openalex.org/W3210146405","https://openalex.org/W4205885905","https://openalex.org/W4226018021","https://openalex.org/W4226300688","https://openalex.org/W4287635733","https://openalex.org/W4312383858","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640963894","https://openalex.org/W6686262638","https://openalex.org/W6724804524","https://openalex.org/W6739901393","https://openalex.org/W6745560452","https://openalex.org/W6748582592","https://openalex.org/W6768062943","https://openalex.org/W6784649575"],"related_works":["https://openalex.org/W2980422611","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W2280377497","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W3174044702","https://openalex.org/W2967848559"],"abstract_inverted_index":{"The":[0,87],"critical":[1],"challenge":[2],"of":[3,84,96,128,138,178,262],"single":[4,81],"image":[5,17,23,37,197,203,258],"inpainting":[6,24,259],"stems":[7],"from":[8,34,168],"accurate":[9],"semantic":[10,22,152,180,200,225,233],"inference":[11],"via":[12],"limited":[13],"information":[14],"while":[15],"maintaining":[16],"quality.":[18],"Typical":[19],"methods":[20,44,58,256],"for":[21,56,193,211,222,231,235,257],"train":[25],"an":[26],"encoder-decoder":[27,207],"network":[28,208],"by":[29],"learning":[30],"a":[31,165],"one-to-one":[32,74],"mapping":[33,75],"the":[35,39,92,117,126,135,139,144,150,160,169,176,183,190,194,206,213,254],"corrupted":[36,51,65,129,140,196,237],"to":[38,59,68,78,173,188,198],"inpainted":[40],"version.":[41],"While":[42,205],"such":[43],"perform":[45,199],"well":[46],"on":[47,132,241],"images":[48,62,104],"with":[49,61,63],"small":[50],"regions,":[52],"it":[53],"is":[54,108,209,228],"challenging":[55],"these":[57],"deal":[60],"large":[64,236],"area":[66],"due":[67],"two":[69],"potential":[70],"limitations.":[71],"1)":[72],"Such":[73],"paradigm":[76],"tends":[77],"overfit":[79],"each":[80],"training":[82,171],"pair":[83],"images;":[85],"2)":[86],"inter-image":[88,146],"prior":[89],"knowledge":[90],"about":[91],"general":[93],"distribution":[94,153,177],"patterns":[95,154],"visual":[97,264],"semantics,":[98,107],"which":[99,124,227],"can":[100],"be":[101],"transferred":[102],"across":[103],"sharing":[105],"similar":[106,156],"not":[109,133],"explicitly":[110,174],"exploited.":[111],"In":[112,158],"this":[113],"paper,":[114],"we":[115],"propose":[116],"Generative":[118],"Memory-guided":[119],"Semantic":[120],"Reasoning":[121],"Model":[122],"(GM-SRM),":[123],"infers":[125],"content":[127,215,234],"regions":[130,137],"based":[131],"only":[134],"known":[136],"image,":[141],"but":[142],"also":[143],"learned":[145,184],"reasoning":[147,201],"priors":[148,219],"characterizing":[149],"generalizable":[151],"between":[155],"images.":[157],"particular,":[159],"proposed":[161],"GM-SRM":[162,252],"first":[163],"pre-learns":[164],"generative":[166,218],"memory":[167,185],"whole":[170],"data":[172],"learn":[175],"different":[179],"patterns.":[181],"Then":[182],"are":[186,220],"leveraged":[187],"retrieve":[189],"matching":[191],"semantics":[192],"current":[195],"during":[202],"inpainting.":[204],"used":[210],"guaranteeing":[212],"pixel-level":[214],"consistency,":[216],"our":[217,251],"favorable":[221],"performing":[223],"high-level":[224],"reasoning,":[226],"particularly":[229],"effective":[230],"inferring":[232],"area.":[238],"Extensive":[239],"experiments":[240],"Paris":[242],"Street":[243],"View,":[244],"CelebA-HQ,":[245],"and":[246,266],"Places2":[247],"benchmarks":[248],"demonstrate":[249],"that":[250],"outperforms":[253],"state-of-the-art":[255],"in":[260],"terms":[261],"both":[263],"quality":[265],"quantitative":[267],"metrics.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
