乐胖代购免代理版

{"id":"https://openalex.org/W4306732596","doi":"https://doi.org/10.1109/tpami.2022.3215251","title":"Learning Dual Memory Dictionaries for Blind Face Restoration","display_name":"Learning Dual Memory Dictionaries for Blind Face Restoration","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4306732596","doi":"https://doi.org/10.1109/tpami.2022.3215251","pmid":"https://pubmed.ncbi.nlm.nih.gov/36251909"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3215251","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.08160","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100452149","display_name":"Xiaoming Li","orcid":"https://orcid.org/0000-0003-3844-9308"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"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","HK"],"is_corresponding":false,"raw_author_name":"Xiaoming Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong","Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058970337","display_name":"Shiguang Zhang","orcid":"https://orcid.org/0000-0001-5047-8481"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Zhang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023785888","display_name":"Shangchen Zhou","orcid":"https://orcid.org/0000-0001-8201-8877"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shangchen Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"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":"Wangmeng Zuo","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China","Peng Cheng Lab, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Lab, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.642,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.730302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9991,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9991,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9982,"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":0.9979,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407735},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.55375654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5149015},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.43425557},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.42853794},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33774918},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10212293},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.076893926},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"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":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3215251","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2210.08160","pdf_url":"https://arxiv.org/pdf/2210.08160","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36251909","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2210.08160","pdf_url":"https://arxiv.org/pdf/2210.08160","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":64,"referenced_works":["https://openalex.org/W1509966554","https://openalex.org/W1834627138","https://openalex.org/W1901129140","https://openalex.org/W2133665775","https://openalex.org/W2142683286","https://openalex.org/W2187997753","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2475287302","https://openalex.org/W2507235960","https://openalex.org/W2508457857","https://openalex.org/W2520930090","https://openalex.org/W2553668389","https://openalex.org/W2560533888","https://openalex.org/W2764207251","https://openalex.org/W2766341514","https://openalex.org/W2776107444","https://openalex.org/W2780624730","https://openalex.org/W2798365772","https://openalex.org/W2798691622","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2895542678","https://openalex.org/W2954930822","https://openalex.org/W2955625300","https://openalex.org/W2962687329","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2963089432","https://openalex.org/W2963312584","https://openalex.org/W2963393566","https://openalex.org/W2963470893","https://openalex.org/W2963583792","https://openalex.org/W2963676087","https://openalex.org/W2963725279","https://openalex.org/W2963743395","https://openalex.org/W2963774720","https://openalex.org/W2963814095","https://openalex.org/W2963839617","https://openalex.org/W2964337079","https://openalex.org/W2965217508","https://openalex.org/W2969985801","https://openalex.org/W2982795046","https://openalex.org/W2985680812","https://openalex.org/W3034352949","https://openalex.org/W3035048074","https://openalex.org/W3035302306","https://openalex.org/W3035484352","https://openalex.org/W3035574324","https://openalex.org/W3035730922","https://openalex.org/W3093222528","https://openalex.org/W3097262261","https://openalex.org/W3104792420","https://openalex.org/W3106746951","https://openalex.org/W3106753828","https://openalex.org/W3119336214","https://openalex.org/W3132693282","https://openalex.org/W3167297682","https://openalex.org/W3174166237","https://openalex.org/W3180391059","https://openalex.org/W3193508667","https://openalex.org/W4312326192","https://openalex.org/W4312400623","https://openalex.org/W54257720"],"related_works":["https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W3048844891","https://openalex.org/W2951359407","https://openalex.org/W2794941409","https://openalex.org/W2772917594","https://openalex.org/W2548721895","https://openalex.org/W2413419736","https://openalex.org/W2387659881","https://openalex.org/W2373456246"],"abstract_inverted_index":{"Blind":[0],"face":[1,28,306],"restoration":[2,59,111,152,160,307],"is":[3,16,139,238,276,298],"a":[4,140,163,174,184,292],"challenging":[5,141],"task":[6,144],"due":[7,81],"to":[8,61,77,82,100,113,145,177,225,240,262,300],"the":[9,24,34,63,72,83,96,102,106,115,119,122,127,134,147,156,171,189,198,202,213,217,227,242,246,254,264,271,302,309,316,322,325,339,347],"unknown,":[10],"unsynthesizable":[11],"and":[12,48,94,142,153,158,191,273,282,330,333,346],"complex":[13],"degradation,":[14],"yet":[15],"valuable":[17],"in":[18,90,125,278,308,327],"many":[19],"practical":[20],"applications.":[21],"To":[22],"improve":[23,146],"performance":[25,149],"of":[26,86,121,129,150,168,209,304,324],"blind":[27,92,151],"restoration,":[29,52,93],"recent":[30],"works":[31],"mainly":[32],"treat":[33],"two":[35],"aspects,":[36],"i":[39],".":[40,358],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">e":[43],".,":[44],"generic":[47,58],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">specific":[51,110],"separately.":[53],"In":[54],"particular,":[55],"attempts":[60],"restore":[62],"results":[64,313,337],"through":[65,194],"general":[66,203],"facial":[67,204],"structure":[68],"prior,":[69],"while":[70,212],"on":[71,95,338],"one":[73],"hand,":[74,98],"cannot":[75],"generalize":[76],"real-world":[78,340],"degraded":[79,228],"observations":[80],"limited":[84],"capability":[85],"direct":[87],"CNNs'":[88],"mappings":[89],"learning":[91,170],"other":[97],"fails":[99],"exploit":[101],"identity-specific":[103],"details.":[104],"On":[105],"contrary,":[107],"aims":[112],"incorporate":[114],"identity":[116],"features":[117,193,219],"from":[118,173,206,245],"reference":[120,131],"same":[123],"identity,":[124,211],"which":[126,249],"requirement":[128],"proper":[130],"severely":[132],"limits":[133],"application":[135,289],"scenarios.":[136,290],"Generally,":[137],"it":[138],"intractable":[143],"photo-realistic":[148,336],"adaptively":[154],"handle":[155,226],"generic":[157,190,199,272],"specific":[159,192,214,233,274,305],"scenarios":[161],"with":[162,230],"single":[164],"unified":[165],"model.":[166],"Instead":[167],"implicitly":[169],"mapping":[172],"low-quality":[175,341],"image":[176],"its":[178],"high-quality":[179,207,294],"counterpart,":[180],"this":[181],"paper":[182],"suggests":[183],"DMDNet":[185,318],"by":[186],"explicitly":[187],"memorizing":[188],"dual":[195,247],"dictionaries.":[196],"First,":[197],"dictionary":[200,215,235],"learns":[201],"priors":[205],"images":[208],"any":[210],"stores":[216],"identity-belonging":[218],"for":[220],"each":[221],"person":[222],"individually.":[223],"Second,":[224],"input":[229,255],"or":[231],"without":[232],"reference,":[234],"transform":[236],"module":[237],"suggested":[239],"read":[241],"relevant":[243],"details":[244],"dictionaries":[248,259,275],"are":[250,260],"subsequently":[251],"fused":[252],"into":[253,287],"features.":[256],"Finally,":[257],"multi-scale":[258],"leveraged":[261],"benefit":[263],"coarse-to-fine":[265],"restoration.":[266],"The":[267,343],"whole":[268],"framework":[269],"including":[270],"optimized":[277],"an":[279],"end-to-end":[280],"manner":[281],"can":[283],"be":[284,351],"flexibly":[285],"plugged":[286],"different":[288],"Moreover,":[291],"new":[293],"dataset,":[295],"termed":[296],"CelebRef-HQ,":[297],"constructed":[299],"promote":[301],"exploration":[303],"high-resolution":[310],"space.":[311],"Experimental":[312],"demonstrate":[314],"that":[315],"proposed":[317],"performs":[319],"favorably":[320],"against":[321],"state":[323],"arts":[326],"both":[328],"quantitative":[329],"qualitative":[331],"evaluation,":[332],"generates":[334],"more":[335],"images.":[342],"codes,":[344],"models":[345],"CelebRef-HQ":[348],"dataset":[349],"will":[350],"publicly":[352],"available":[353],"at":[354],"https://github.com/csxmli2016/DMDNet":[357]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4306732596","counts_by_year":[{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":3}],"updated_date":"2024-12-09T21:31:49.291649","created_date":"2022-10-19"}