{"id":"https://openalex.org/W2999994528","doi":"https://doi.org/10.1109/tpami.2020.2964205","title":"Explicit Filterbank Learning for Neural Image Style Transfer and Image Processing","display_name":"Explicit Filterbank Learning for Neural Image Style Transfer and Image Processing","publication_year":2020,"publication_date":"2020-01-07","ids":{"openalex":"https://openalex.org/W2999994528","doi":"https://doi.org/10.1109/tpami.2020.2964205","mag":"2999994528","pmid":"https://pubmed.ncbi.nlm.nih.gov/31905133"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.2964205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.2964205","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","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/A5100364587","display_name":"Dongdong Chen","orcid":"https://orcid.org/0000-0002-4642-4373"},"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":"Dongdong Chen","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-4642-4373","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390820","display_name":"Lu Yuan","orcid":"https://orcid.org/0000-0001-7879-0389"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Yuan","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7879-0389","affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013972536","display_name":"Jing Liao","orcid":"https://orcid.org/0000-0001-7014-5377"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Liao","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7014-5377","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064573190","display_name":"Nenghai Yu","orcid":"https://orcid.org/0000-0003-4417-9316"},"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":"Nenghai Yu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-4417-9316","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081114810","display_name":"Gang Hua","orcid":"https://orcid.org/0000-0001-9522-6157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gang Hua","raw_affiliation_strings":["Wormpex AI Research LLC, Bellevue, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9522-6157","affiliations":[{"raw_affiliation_string":"Wormpex AI Research LLC, Bellevue, WA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1083,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89145977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"43","issue":"7","first_page":"2373","last_page":"2387"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7209004759788513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6226217746734619},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.5404883027076721},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5052395462989807},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47126150131225586},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45234882831573486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4452058672904968},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.42853397130966187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3892814517021179}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209004759788513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226217746734619},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.5404883027076721},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5052395462989807},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47126150131225586},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45234882831573486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4452058672904968},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.42853397130966187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3892814517021179},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2020.2964205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.2964205","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:31905133","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31905133","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1512528976","display_name":null,"funder_award_id":"U163620","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1586809628","display_name":null,"funder_award_id":"2018AAA0101400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6866081702","display_name":null,"funder_award_id":"61629301","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":96,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1878947057","https://openalex.org/W1903029394","https://openalex.org/W1924619199","https://openalex.org/W1999360130","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2078718577","https://openalex.org/W2078790577","https://openalex.org/W2083518538","https://openalex.org/W2098800028","https://openalex.org/W2099471712","https://openalex.org/W2100495367","https://openalex.org/W2116013899","https://openalex.org/W2124351162","https://openalex.org/W2127006916","https://openalex.org/W2128057924","https://openalex.org/W2150920547","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2169551590","https://openalex.org/W2170965888","https://openalex.org/W2184218725","https://openalex.org/W2185897478","https://openalex.org/W2186094539","https://openalex.org/W2205593472","https://openalex.org/W2231495490","https://openalex.org/W2232702494","https://openalex.org/W2248685949","https://openalex.org/W2275363859","https://openalex.org/W2292976057","https://openalex.org/W2295130376","https://openalex.org/W2331128040","https://openalex.org/W2337429362","https://openalex.org/W2339754110","https://openalex.org/W2461455396","https://openalex.org/W2471440592","https://openalex.org/W2502312327","https://openalex.org/W2508457857","https://openalex.org/W2520715860","https://openalex.org/W2545656684","https://openalex.org/W2564755245","https://openalex.org/W2592533706","https://openalex.org/W2603351312","https://openalex.org/W2603777577","https://openalex.org/W2604737827","https://openalex.org/W2605183293","https://openalex.org/W2611605760","https://openalex.org/W2613099748","https://openalex.org/W2613155248","https://openalex.org/W2617602381","https://openalex.org/W2884569173","https://openalex.org/W2898422183","https://openalex.org/W2949117887","https://openalex.org/W2962750014","https://openalex.org/W2962772087","https://openalex.org/W2963228403","https://openalex.org/W2963547393","https://openalex.org/W2963676366","https://openalex.org/W2963920537","https://openalex.org/W2963920720","https://openalex.org/W2964121744","https://openalex.org/W2964193438","https://openalex.org/W2996868574","https://openalex.org/W2998704965","https://openalex.org/W4242737140","https://openalex.org/W4285719527","https://openalex.org/W4297749385","https://openalex.org/W4298135604","https://openalex.org/W4320013936","https://openalex.org/W6629369048","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6639138679","https://openalex.org/W6640174519","https://openalex.org/W6680532216","https://openalex.org/W6683590716","https://openalex.org/W6684191040","https://openalex.org/W6686131816","https://openalex.org/W6686583229","https://openalex.org/W6686869423","https://openalex.org/W6697028695","https://openalex.org/W6720244596","https://openalex.org/W6724804524","https://openalex.org/W6726953290","https://openalex.org/W6729110096","https://openalex.org/W6731043416","https://openalex.org/W6735957806","https://openalex.org/W6737822200","https://openalex.org/W6738438352","https://openalex.org/W6755681954"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2040641410"],"abstract_inverted_index":{"Image":[0],"style":[1,13,22,111,127,147,164],"transfer":[2,70,148],"is":[3,54,81,144],"to":[4,42,73,119,123,153,174,194],"re-render":[5],"the":[6,12,77,84,95,105,134,139,145],"content":[7,20],"of":[8,14,56],"one":[9,67],"image":[10,72,135,178,182],"with":[11],"another.":[15],"Most":[16],"existing":[17],"methods":[18],"couple":[19],"and":[21,28,30,61,94,128,158,184],"information":[23],"in":[24,100],"their":[25],"network":[26,149],"structures":[27],"hyper-parameters,":[29],"learn":[31],"it":[32,189],"as":[33],"a":[34,44,74,89,102,125],"black-box.":[35],"For":[36],"better":[37],"understanding,":[38],"this":[39,169],"paper":[40],"aims":[41],"provide":[43],"new":[45,126,160],"explicit":[46,114],"decoupled":[47],"perspective.":[48],"Specifically,":[49],"we":[50],"propose":[51],"StyleBank,":[52],"which":[53],"composed":[55],"multiple":[57],"convolution":[58],"filter":[59,63,79],"banks":[60],"each":[62],"bank":[64,80],"explicitly":[65],"represents":[66],"style.":[68],"To":[69],"an":[71],"specific":[75],"style,":[76],"corresponding":[78],"operated":[82],"on":[83,162],"intermediate":[85],"feature":[86],"produced":[87],"by":[88],"single":[90,196],"auto-encoder.":[91],"The":[92],"StyleBank":[93],"auto-encoder":[96,106],"are":[97],"jointly":[98],"learnt":[99],"such":[101],"way":[103],"that":[104,150,188],"does":[107],"not":[108,132],"encode":[109],"any":[110],"information.":[112],"This":[113],"representation":[115],"also":[116,138],"enables":[117],"us":[118],"conduct":[120],"incremental":[121],"learning":[122,172],"add":[124],"fuse":[129],"styles":[130],"at":[131],"only":[133],"level,":[136],"but":[137],"region":[140],"level.":[141],"Our":[142],"method":[143],"first":[146],"links":[151],"back":[152],"traditional":[154],"texton":[155],"mapping":[156],"methods,":[157],"provides":[159],"understanding":[161],"neural":[163],"transfer.":[165],"We":[166],"further":[167],"apply":[168],"general":[170],"filterbank":[171],"idea":[173],"two":[175],"different":[176],"multi-parameter":[177],"processing":[179],"tasks:":[180],"edge-aware":[181],"smoothing":[183],"denoising.":[185],"Experiments":[186],"demonstrate":[187],"can":[190],"achieve":[191],"comparable":[192],"results":[193],"its":[195],"parameter":[197],"setting":[198],"counterparts.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
