{"id":"https://openalex.org/W3028045870","doi":"https://doi.org/10.1109/tpami.2020.2995190","title":"Single Image Deraining: From Model-Based to Data-Driven and Beyond","display_name":"Single Image Deraining: From Model-Based to Data-Driven and Beyond","publication_year":2020,"publication_date":"2020-05-19","ids":{"openalex":"https://openalex.org/W3028045870","doi":"https://doi.org/10.1109/tpami.2020.2995190","mag":"3028045870","pmid":"https://pubmed.ncbi.nlm.nih.gov/32750766"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.2995190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.2995190","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/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"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":true,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111887396","display_name":"Robby T. Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I3089745140","display_name":"Yale-NUS College","ror":"https://ror.org/04g9wch13","country_code":"SG","type":"education","lineage":["https://openalex.org/I3089745140"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Robby T. Tan","raw_affiliation_strings":["Yale-NUS College, Singapore"],"affiliations":[{"raw_affiliation_string":"Yale-NUS College, Singapore","institution_ids":["https://openalex.org/I3089745140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"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":"Shiqi Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063013411","display_name":"Yuming Fang","orcid":"https://orcid.org/0000-0002-6946-3586"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuming Fang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070884682"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":18.4457,"has_fulltext":false,"cited_by_count":277,"citation_normalized_percentile":{"value":0.9953125,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"43","issue":"11","first_page":"4059","last_page":"4077"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":0.9980000257492065,"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":0.790711522102356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6767961978912354},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5803694725036621},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5748113393783569},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5364867448806763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4884861707687378},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4806296229362488},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4701523780822754},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4346839189529419},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41667497158050537},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41548818349838257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38070881366729736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.790711522102356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6767961978912354},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5803694725036621},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5748113393783569},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5364867448806763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4884861707687378},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4806296229362488},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4701523780822754},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4346839189529419},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41667497158050537},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41548818349838257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38070881366729736},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2020.2995190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.2995190","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:32750766","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32750766","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":[{"score":0.6299999952316284,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1965572510","https://openalex.org/W1970863638","https://openalex.org/W1977725648","https://openalex.org/W2013784666","https://openalex.org/W2073623229","https://openalex.org/W2083610878","https://openalex.org/W2092264651","https://openalex.org/W2096933452","https://openalex.org/W2102166818","https://openalex.org/W2103544474","https://openalex.org/W2110158442","https://openalex.org/W2119535410","https://openalex.org/W2119999314","https://openalex.org/W2121396509","https://openalex.org/W2124562516","https://openalex.org/W2133665775","https://openalex.org/W2153831373","https://openalex.org/W2154815154","https://openalex.org/W2164647001","https://openalex.org/W2177195834","https://openalex.org/W2209874411","https://openalex.org/W2340897893","https://openalex.org/W2466666260","https://openalex.org/W2509784253","https://openalex.org/W2520707372","https://openalex.org/W2559264300","https://openalex.org/W2565312867","https://openalex.org/W2613034492","https://openalex.org/W2617199345","https://openalex.org/W2740982616","https://openalex.org/W2748263833","https://openalex.org/W2763110165","https://openalex.org/W2777170053","https://openalex.org/W2780930362","https://openalex.org/W2781413027","https://openalex.org/W2790883954","https://openalex.org/W2798744505","https://openalex.org/W2884068670","https://openalex.org/W2887181327","https://openalex.org/W2894683476","https://openalex.org/W2896911342","https://openalex.org/W2910832120","https://openalex.org/W2912435603","https://openalex.org/W2913360047","https://openalex.org/W2930755307","https://openalex.org/W2948667002","https://openalex.org/W2954171777","https://openalex.org/W2963017889","https://openalex.org/W2963641969","https://openalex.org/W2963800716","https://openalex.org/W2963866045","https://openalex.org/W2963878020","https://openalex.org/W2964212750","https://openalex.org/W2964267765","https://openalex.org/W2967584026","https://openalex.org/W2970842755","https://openalex.org/W2971230840","https://openalex.org/W2971889950","https://openalex.org/W2974467376","https://openalex.org/W2980047233","https://openalex.org/W2989393016","https://openalex.org/W2996488097","https://openalex.org/W2998545307","https://openalex.org/W3104533206","https://openalex.org/W3159245327","https://openalex.org/W6605121731","https://openalex.org/W6747084010","https://openalex.org/W6753755972","https://openalex.org/W6967019552"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,22],"goal":[1],"of":[2,12,40,59,88,105,146,154,186],"single-image":[3,24,47,147],"deraining":[4,25,48,89,106,148,187],"is":[5],"to":[6,36,135,171],"restore":[7],"the":[8,38,76,92,97,113,117,127,131,164,169,184,192],"rain-free":[9],"background":[10,43],"scenes":[11],"an":[13],"image":[14],"degraded":[15],"by":[16],"rain":[17,20,41,98],"streaks":[18],"and":[19,42,55,101,109,124,140,160,180],"accumulation.":[21],"early":[23],"methods":[26,49,90],"employ":[27],"a":[28,52,85,151],"cost":[29],"function,":[30],"where":[31],"various":[32,57],"priors":[33],"are":[34],"developed":[35,132],"represent":[37],"properties":[39],"layers.":[44],"Since":[45],"2017,":[46],"step":[50],"into":[51],"deep-learning":[53],"era,":[54],"exploit":[56],"types":[58],"networks,":[60,64,67,70],"i.e.,":[61],"convolutional":[62],"neural":[63,66],"recurrent":[65],"generative":[68],"adversarial":[69],"etc.,":[71],"demonstrating":[72],"impressive":[73],"performance.":[74],"Given":[75],"current":[77],"rapid":[78],"development,":[79],"in":[80,157],"this":[81],"paper,":[82],"we":[83,115,129,189],"provide":[84,161],"comprehensive":[86],"survey":[87],"over":[91],"last":[93],"decade.":[94],"We":[95,143,174],"summarize":[96,176],"appearance":[99],"models,":[100],"discuss":[102,130,191],"two":[103],"categories":[104],"approaches:":[107],"model-based":[108,170],"data-driven":[110,172],"approaches.":[111],"For":[112,126],"former,":[114],"organize":[116],"literature":[118],"based":[119],"on":[120,163],"their":[121],"basic":[122],"models":[123],"priors.":[125],"latter,":[128],"ideas":[133],"related":[134],"architectures,":[136],"constraints,":[137],"loss":[138],"functions,":[139],"training":[141],"datasets.":[142],"present":[144],"milestones":[145],"methods,":[149,188],"review":[150],"broad":[152],"selection":[153],"previous":[155],"works":[156],"different":[158],"categories,":[159],"insights":[162],"historical":[165],"development":[166],"route":[167],"from":[168],"methods.":[173],"also":[175,190],"performance":[177],"comparisons":[178],"quantitatively":[179],"qualitatively.":[181],"Beyond":[182],"discussing":[183],"technicality":[185],"future":[193],"possible":[194],"directions.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":50},{"year":2023,"cited_by_count":64},{"year":2022,"cited_by_count":50},{"year":2021,"cited_by_count":55},{"year":2020,"cited_by_count":19}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
