{"id":"https://openalex.org/W4399995659","doi":"https://doi.org/10.1109/tpami.2024.3419007","title":"Revitalizing Convolutional Network for Image Restoration","display_name":"Revitalizing Convolutional Network for Image Restoration","publication_year":2024,"publication_date":"2024-06-25","ids":{"openalex":"https://openalex.org/W4399995659","doi":"https://doi.org/10.1109/tpami.2024.3419007","pmid":"https://pubmed.ncbi.nlm.nih.gov/38917284"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3419007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3419007","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":true,"oa_status":"green","oa_url":"https://mediatum.ub.tum.de/1745454","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020286040","display_name":"Yuning Cui","orcid":"https://orcid.org/0000-0002-1279-5539"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yuning Cui","raw_affiliation_strings":["School of Computation, Information and Technology, Technical University of Munich, Munich, Germany","IFAN CVPR21 IRNeXt ICML23"],"affiliations":[{"raw_affiliation_string":"School of Computation, Information and Technology, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"IFAN CVPR21 IRNeXt ICML23","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057999649","display_name":"Wenqi Ren","orcid":"https://orcid.org/0000-0001-5481-653X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Ren","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Guangdong, China","IFAN CVPR21 IRNeXt ICML23"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"IFAN CVPR21 IRNeXt ICML23","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Guangdong, China","IFAN CVPR21 IRNeXt ICML23"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"IFAN CVPR21 IRNeXt ICML23","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["School of Computation, Information and Technology, Technical University of Munich, Munich, Germany","IFAN CVPR21 IRNeXt ICML23"],"affiliations":[{"raw_affiliation_string":"School of Computation, Information and Technology, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"IFAN CVPR21 IRNeXt ICML23","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020286040"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":38.103,"has_fulltext":false,"cited_by_count":157,"citation_normalized_percentile":{"value":0.9990724,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"46","issue":"12","first_page":"9423","last_page":"9438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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":0.9995999932289124,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.880096435546875},{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.8165090084075928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7570935487747192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6911316514015198},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6788854002952576},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.563992977142334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5312200784683228},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48236507177352905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43515291810035706},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34257328510284424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32583242654800415},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22144865989685059}],"concepts":[{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.880096435546875},{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8165090084075928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570935487747192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6911316514015198},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6788854002952576},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.563992977142334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5312200784683228},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48236507177352905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43515291810035706},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34257328510284424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32583242654800415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22144865989685059},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2024.3419007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3419007","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:38917284","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38917284","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},{"id":"pmh:oai:mediatum.ub.tum.de:node/1745454","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1745454","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1745454","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1745454","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5199999809265137,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3661155299","display_name":null,"funder_award_id":"62322216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6615738350","display_name":null,"funder_award_id":"62172409","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":112,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2018332268","https://openalex.org/W2063971703","https://openalex.org/W2133665775","https://openalex.org/W2150060382","https://openalex.org/W2206123561","https://openalex.org/W2256362396","https://openalex.org/W2466666260","https://openalex.org/W2508647300","https://openalex.org/W2509784253","https://openalex.org/W2559264300","https://openalex.org/W2560533888","https://openalex.org/W2601564443","https://openalex.org/W2740982616","https://openalex.org/W2746139371","https://openalex.org/W2748263833","https://openalex.org/W2779176852","https://openalex.org/W2884068670","https://openalex.org/W2912435603","https://openalex.org/W2921469264","https://openalex.org/W2961218591","https://openalex.org/W2962754725","https://openalex.org/W2962782447","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963017889","https://openalex.org/W2963091558","https://openalex.org/W2963152299","https://openalex.org/W2963263347","https://openalex.org/W2963878020","https://openalex.org/W2963928582","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W2970360808","https://openalex.org/W2980047233","https://openalex.org/W2987477823","https://openalex.org/W2990007814","https://openalex.org/W2998249728","https://openalex.org/W3012965216","https://openalex.org/W3014483994","https://openalex.org/W3021850033","https://openalex.org/W3034278302","https://openalex.org/W3034789174","https://openalex.org/W3035326127","https://openalex.org/W3035414587","https://openalex.org/W3035601380","https://openalex.org/W3035713416","https://openalex.org/W3041172212","https://openalex.org/W3043918163","https://openalex.org/W3091987649","https://openalex.org/W3093348923","https://openalex.org/W3103549414","https://openalex.org/W3104533206","https://openalex.org/W3106758205","https://openalex.org/W3109494165","https://openalex.org/W3138516171","https://openalex.org/W3158867137","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3173269149","https://openalex.org/W3174970555","https://openalex.org/W3192778027","https://openalex.org/W3201952986","https://openalex.org/W3202040256","https://openalex.org/W3206886340","https://openalex.org/W3207516177","https://openalex.org/W3207918547","https://openalex.org/W3210966637","https://openalex.org/W3211474784","https://openalex.org/W3215632849","https://openalex.org/W3217648369","https://openalex.org/W4210562387","https://openalex.org/W4223444776","https://openalex.org/W4225672218","https://openalex.org/W4225871896","https://openalex.org/W4226018107","https://openalex.org/W4226453196","https://openalex.org/W4229862590","https://openalex.org/W4287122968","https://openalex.org/W4306979388","https://openalex.org/W4309611266","https://openalex.org/W4312432424","https://openalex.org/W4312556940","https://openalex.org/W4312617404","https://openalex.org/W4312678820","https://openalex.org/W4312812783","https://openalex.org/W4312914040","https://openalex.org/W4312958254","https://openalex.org/W4313192952","https://openalex.org/W4313892909","https://openalex.org/W4320900798","https://openalex.org/W4327808545","https://openalex.org/W4372270072","https://openalex.org/W4380303497","https://openalex.org/W4382457391","https://openalex.org/W4386076209","https://openalex.org/W4386170296","https://openalex.org/W4386270846","https://openalex.org/W4386759882","https://openalex.org/W4387968529","https://openalex.org/W4388430459","https://openalex.org/W4390872931","https://openalex.org/W4390874447","https://openalex.org/W4393150006","https://openalex.org/W6631190155","https://openalex.org/W6726497184","https://openalex.org/W6810615099","https://openalex.org/W6810653034","https://openalex.org/W6811043537","https://openalex.org/W6839818334","https://openalex.org/W6987037084","https://openalex.org/W7066912073"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"Image":[0],"restoration":[1,27,57,87,100,112,139],"aims":[2],"to":[3,33,37,41,95,105],"reconstruct":[4],"a":[5,22,107],"high-quality":[6],"image":[7,26,56,86,111,138,142,144,147,150],"from":[8,28],"its":[9],"corrupted":[10],"version,":[11],"playing":[12],"essential":[13],"roles":[14],"in":[15,25],"many":[16],"scenarios.":[17],"Recent":[18],"years":[19],"have":[20],"witnessed":[21],"paradigm":[23],"shift":[24],"convolutional":[29,64],"neural":[30],"networks":[31],"(CNNs)":[32],"Transformer-based":[34],"models":[35],"due":[36],"their":[38],"powerful":[39],"ability":[40],"model":[42],"long-range":[43],"pixel":[44],"interactions.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,89],"explore":[50],"the":[51,61,77,82,96],"potential":[52],"of":[53,84,99],"CNNs":[54],"for":[55,110],"and":[58,149],"show":[59],"that":[60,121],"proposed":[62],"simple":[63],"network":[65,109],"architecture,":[66],"termed":[67],"ConvIR,":[68],"can":[69],"perform":[70],"on":[71,114,135],"par":[72],"with":[73,127],"or":[74],"better":[75],"than":[76],"Transformer":[78],"counterparts.":[79],"By":[80],"re-examing":[81],"characteristics":[83],"advanced":[85],"algorithms,":[88],"discover":[90],"several":[91],"key":[92],"factors":[93],"leading":[94],"performance":[97,126],"improvement":[98],"models.":[101],"This":[102],"motivates":[103],"us":[104],"develop":[106],"novel":[108],"based":[113],"cheap":[115],"convolution":[116],"operators.":[117],"Comprehensive":[118],"experiments":[119],"demonstrate":[120],"our":[122],"ConvIR":[123],"delivers":[124],"state-of-the-art":[125],"low":[128],"computation":[129],"complexity":[130],"among":[131],"20":[132],"benchmark":[133],"datasets":[134],"five":[136],"representative":[137],"tasks,":[140],"including":[141],"dehazing,":[143],"motion/defocus":[145],"deblurring,":[146],"deraining,":[148],"desnowing.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":32},{"year":2025,"cited_by_count":115},{"year":2024,"cited_by_count":10}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}