{"id":"https://openalex.org/W4287239779","doi":"https://doi.org/10.1109/tip.2022.3231741","title":"Searching Efficient Model-Guided Deep Network for Image Denoising","display_name":"Searching Efficient Model-Guided Deep Network for Image Denoising","publication_year":2022,"publication_date":"2022-12-29","ids":{"openalex":"https://openalex.org/W4287239779","doi":"https://doi.org/10.1109/tip.2022.3231741","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015619"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3231741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3231741","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5093130594","display_name":"Qian Ning","orcid":"https://orcid.org/0009-0002-2903-8726"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Ning","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037310802","display_name":"Weisheng Dong","orcid":"https://orcid.org/0000-0002-9632-985X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Dong","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354039","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2067-2763"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA"],"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074780876","display_name":"Jinjian Wu","orcid":"https://orcid.org/0000-0001-7501-0009"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjian Wu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093130594"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.7132,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70291476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"668","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9993000030517578,"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":0.9977999925613403,"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":0.6475968956947327},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.514863133430481},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5132238864898682},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4537825584411621},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.43111470341682434},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.42438986897468567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42222729325294495},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3782767355442047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3498932123184204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2110731303691864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475968956947327},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.514863133430481},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5132238864898682},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4537825584411621},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.43111470341682434},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.42438986897468567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42222729325294495},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3782767355442047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3498932123184204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2110731303691864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3231741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3231741","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37015619","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015619","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5099999904632568}],"awards":[{"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/G4150153631","display_name":null,"funder_award_id":"61836008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4590421986","display_name":null,"funder_award_id":"CMMI-2146076","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5879931153","display_name":null,"funder_award_id":"HEPC.dsr.23.7","funder_id":"https://openalex.org/F4320317258","funder_display_name":"West Virginia Higher Education Policy Commission"},{"id":"https://openalex.org/G712080188","display_name":null,"funder_award_id":"61991451","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7929905151","display_name":null,"funder_award_id":"IIS-2114664","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320317258","display_name":"West Virginia Higher Education Policy Commission","ror":"https://ror.org/01yaers16"},{"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":65,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1588663000","https://openalex.org/W1906770428","https://openalex.org/W1930824406","https://openalex.org/W2056370875","https://openalex.org/W2121927366","https://openalex.org/W2131024476","https://openalex.org/W2149669120","https://openalex.org/W2508457857","https://openalex.org/W2556068545","https://openalex.org/W2613155248","https://openalex.org/W2784344583","https://openalex.org/W2799192307","https://openalex.org/W2913541967","https://openalex.org/W2946547492","https://openalex.org/W2948667002","https://openalex.org/W2948818729","https://openalex.org/W2962935103","https://openalex.org/W2963085671","https://openalex.org/W2963136578","https://openalex.org/W2963163009","https://openalex.org/W2963372104","https://openalex.org/W2963725279","https://openalex.org/W2963774720","https://openalex.org/W2963918968","https://openalex.org/W2964081807","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2965566740","https://openalex.org/W2965658867","https://openalex.org/W2967733054","https://openalex.org/W2972830778","https://openalex.org/W2979122372","https://openalex.org/W2997104867","https://openalex.org/W3000775737","https://openalex.org/W3012084003","https://openalex.org/W3034278302","https://openalex.org/W3034516944","https://openalex.org/W3034652926","https://openalex.org/W3035122910","https://openalex.org/W3035223629","https://openalex.org/W3035302306","https://openalex.org/W3035383808","https://openalex.org/W3085109118","https://openalex.org/W3099686304","https://openalex.org/W3105260381","https://openalex.org/W3169761664","https://openalex.org/W3173217100","https://openalex.org/W3182211633","https://openalex.org/W3206752670","https://openalex.org/W4285606127","https://openalex.org/W6631190155","https://openalex.org/W6726497184","https://openalex.org/W6729956949","https://openalex.org/W6745614327","https://openalex.org/W6749346261","https://openalex.org/W6752237900","https://openalex.org/W6752515464","https://openalex.org/W6756887525","https://openalex.org/W6759278257","https://openalex.org/W6763233178","https://openalex.org/W6767022471","https://openalex.org/W6767994309","https://openalex.org/W6785710124","https://openalex.org/W6803873548"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W1998698147"],"abstract_inverted_index":{"Unlike":[0],"the":[1,34,43,47,50,55,121,137,140,147,153],"success":[2],"of":[3,33,123,146],"neural":[4],"architecture":[5],"search":[6,89,102,110,116,138,149],"(NAS)":[7],"in":[8,70],"high-level":[9],"vision":[10,24],"tasks,":[11],"it":[12],"remains":[13,143],"challenging":[14],"to":[15,22,37,66,85,118],"find":[16],"computationally":[17],"efficient":[18,100],"and":[19,49,95,99,112,131,185],"memory-efficient":[20],"solutions":[21],"low-level":[23],"problems":[25],"such":[26],"as":[27,126,128],"image":[28,40,71],"restoration":[29,41],"through":[30],"NAS.":[31],"One":[32],"fundamental":[35],"barriers":[36],"differential":[38,101],"NAS-based":[39],"is":[42,195],"optimization":[44],"gap":[45,69],"between":[46],"super-network":[48],"sub-architectures,":[51],"causing":[52],"instability":[53],"during":[54],"searching":[56],"process.":[57],"In":[58],"this":[59,68,193],"paper,":[60],"we":[61,83],"present":[62],"a":[63,87,92,106,113],"novel":[64],"approach":[65],"fill":[67],"denoising":[72],"application":[73],"by":[74],"connecting":[75],"model-guided":[76,93,154],"design":[77],"(MoD)":[78],"with":[79,180,192],"NAS":[80],"(MoD-NAS).":[81],"Specifically,":[82],"propose":[84],"construct":[86],"new":[88],"space":[90,150],"under":[91,152],"framework":[94],"develop":[96],"more":[97],"stable":[98,144],"strategies.":[103],"MoD-NAS":[104,142,165],"employs":[105],"highly":[107],"reusable":[108],"width":[109,130],"strategy":[111],"densely":[114],"connected":[115],"block":[117],"automatically":[119],"select":[120],"operations":[122],"each":[124],"layer":[125],"well":[127],"network":[129],"depth":[132],"via":[133],"gradient":[134],"descent.":[135],"During":[136],"process,":[139],"proposed":[141],"because":[145],"smoother":[148],"designed":[151],"framework.":[155],"Experimental":[156],"results":[157],"on":[158],"several":[159],"popular":[160],"datasets":[161],"show":[162],"that":[163],"our":[164],"method":[166],"has":[167],"achieved":[168],"at":[169],"least":[170],"comparable":[171],"even":[172],"better":[173],"PSNR":[174],"performance":[175],"than":[176],"current":[177],"state-of-the-art":[178],"methods":[179],"fewer":[181,183],"parameters,":[182],"flops,":[184],"less":[186],"testing":[187],"time.":[188],"\"The":[189],"code":[190],"associate":[191],"paper":[194],"available":[196],"at:":[197],"https://see.xidian.edu.cn/faculty/wsdong/Projects/Mod-NAS.htm\".":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}