{"id":"https://openalex.org/W4408697819","doi":"https://doi.org/10.1109/tcsvt.2025.3553160","title":"RViDeformer: Efficient Raw Video Denoising Transformer With a Larger Benchmark Dataset","display_name":"RViDeformer: Efficient Raw Video Denoising Transformer With a Larger Benchmark Dataset","publication_year":2025,"publication_date":"2025-03-21","ids":{"openalex":"https://openalex.org/W4408697819","doi":"https://doi.org/10.1109/tcsvt.2025.3553160"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3553160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3553160","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5033035049","display_name":"Huanjing Yue","orcid":"https://orcid.org/0000-0003-2517-9783"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huanjing Yue","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053265606","display_name":"Cong Cao","orcid":"https://orcid.org/0000-0003-2051-1257"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Cao","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036022527","display_name":"Lei Liao","orcid":"https://orcid.org/0000-0003-1325-2410"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liao","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063288559","display_name":"Jingyu Yang","orcid":"https://orcid.org/0000-0002-7521-7920"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033035049"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":11.9699,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.98590581,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"35","issue":"9","first_page":"8929","last_page":"8944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9934999942779541,"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":0.9934999942779541,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9510999917984009,"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/computer-science","display_name":"Computer science","score":0.6604821085929871},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5962846279144287},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5452204346656799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144884586334229},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4667986035346985},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4440630078315735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42172810435295105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09026998281478882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604821085929871},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5962846279144287},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5452204346656799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144884586334229},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4667986035346985},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4440630078315735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42172810435295105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09026998281478882},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3553160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3553160","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G4327091660","display_name":null,"funder_award_id":"62231018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G93664561","display_name":null,"funder_award_id":"62472308","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":74,"referenced_works":["https://openalex.org/W1977674021","https://openalex.org/W1981401019","https://openalex.org/W2113221323","https://openalex.org/W2469031810","https://openalex.org/W2470139095","https://openalex.org/W2508457857","https://openalex.org/W2527006979","https://openalex.org/W2556872594","https://openalex.org/W2738579427","https://openalex.org/W2769654144","https://openalex.org/W2784344583","https://openalex.org/W2799192307","https://openalex.org/W2799265886","https://openalex.org/W2902857081","https://openalex.org/W2942256257","https://openalex.org/W2943960148","https://openalex.org/W2949695917","https://openalex.org/W2952323569","https://openalex.org/W2952762034","https://openalex.org/W2962767526","https://openalex.org/W2963314397","https://openalex.org/W2963725279","https://openalex.org/W2963762505","https://openalex.org/W2965669158","https://openalex.org/W2968466051","https://openalex.org/W2983219806","https://openalex.org/W2986422266","https://openalex.org/W2989642755","https://openalex.org/W2990394688","https://openalex.org/W2998334235","https://openalex.org/W3000775737","https://openalex.org/W3031546776","https://openalex.org/W3034233131","https://openalex.org/W3034239311","https://openalex.org/W3034448817","https://openalex.org/W3034504121","https://openalex.org/W3035051775","https://openalex.org/W3110194847","https://openalex.org/W3112576346","https://openalex.org/W3119800349","https://openalex.org/W3135799625","https://openalex.org/W3138516171","https://openalex.org/W3151130473","https://openalex.org/W3171038842","https://openalex.org/W3174829522","https://openalex.org/W3176997686","https://openalex.org/W3178192988","https://openalex.org/W3178981087","https://openalex.org/W3190492058","https://openalex.org/W3207918547","https://openalex.org/W4210842583","https://openalex.org/W4214617338","https://openalex.org/W4214701710","https://openalex.org/W4225576932","https://openalex.org/W4285260852","https://openalex.org/W4285483521","https://openalex.org/W4292263295","https://openalex.org/W4304080867","https://openalex.org/W4304092247","https://openalex.org/W4312371645","https://openalex.org/W4312391632","https://openalex.org/W4312518509","https://openalex.org/W4312885580","https://openalex.org/W4313306230","https://openalex.org/W4321482139","https://openalex.org/W4322576594","https://openalex.org/W4362673666","https://openalex.org/W4386071577","https://openalex.org/W4392543517","https://openalex.org/W4392939995","https://openalex.org/W4393241304","https://openalex.org/W4402727564","https://openalex.org/W4403878297","https://openalex.org/W4409346457"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4406054402","https://openalex.org/W4312627788","https://openalex.org/W2353444452"],"abstract_inverted_index":{"In":[0,83],"recent":[1],"years,":[2],"raw":[3,24,45,129],"video":[4,46,89,130],"denoising":[5,32,90,131],"has":[6],"garnered":[7],"increased":[8],"attention":[9,113,149],"due":[10],"to":[11,78,107,121,177],"the":[12,15,23,31,153,192,200,209,220],"consistency":[13],"with":[14,40,74,95,196,203,212],"imaging":[16],"process":[17],"and":[18,51,139,147,165,168,188,229],"well-studied":[19],"noise":[20],"modeling":[21],"in":[22,185],"domain.":[25],"However,":[26],"two":[27],"problems":[28],"still":[29],"hinder":[30],"performance.":[33],"Firstly,":[34],"there":[35],"is":[36,58,114,183],"no":[37],"large":[38],"dataset":[39,91,206,215,230],"realistic":[41],"motions":[42],"for":[43,54,116],"supervised":[44,187],"denoising,":[47,117],"as":[48,93],"capturing":[49],"noisy":[50,223],"clean":[52],"frames":[53],"real":[55],"dynamic":[56],"scenes":[57],"difficult.":[59],"To":[60],"address":[61],"this,":[62],"we":[63,86,143],"propose":[64,126,144],"recapturing":[65],"existing":[66],"high-resolution":[67],"videos":[68],"displayed":[69],"on":[70,219],"a":[71,88],"4K":[72],"screen":[73],"high-low":[75],"ISO":[76,102],"settings":[77],"construct":[79,87],"noisy-clean":[80,99],"paired":[81],"frames.":[82],"this":[84],"way,":[85],"(named":[92],"ReCRVD)":[94],"120":[96],"groups":[97],"of":[98],"videos,":[100],"whose":[101],"values":[103],"ranging":[104],"from":[105,156],"1600":[106],"25600.":[108],"Secondly,":[109],"while":[110],"non-local":[111],"temporal-spatial":[112],"beneficial":[115],"it":[118],"often":[119],"leads":[120],"heavy":[122],"computation":[123,179],"costs.":[124,180],"We":[125,174],"an":[127],"efficient":[128],"transformer":[132],"network":[133,182],"(RViDeformer)":[134],"that":[135],"explores":[136],"both":[137,186],"short":[138],"long-distance":[140],"correlations.":[141],"Specifically,":[142],"multi-branch":[145],"spatial":[146],"temporal":[148],"modules,":[150],"which":[151],"explore":[152],"patch":[154],"correlations":[155],"local":[157,159],"window,":[158,161,164,167],"low-resolution":[160],"global":[162],"downsampled":[163],"neighbor-involved":[166],"then":[169],"they":[170],"are":[171],"fused":[172],"together.":[173],"employ":[175],"reparameterization":[176],"reduce":[178],"Our":[181],"trained":[184,202,211],"unsupervised":[189],"manners,":[190],"achieving":[191],"best":[193],"performance":[194],"compared":[195],"state-of-the-art":[197],"methods.":[198],"Additionally,":[199],"model":[201,210],"our":[204],"proposed":[205],"(ReCRVD)":[207],"outperforms":[208],"previous":[213],"benchmark":[214],"(CRVD)":[216],"when":[217],"evaluated":[218],"real-world":[221],"outdoor":[222],"videos.":[224],"<italic":[225],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Our":[227],"code":[228],"will":[231],"be":[232],"released.</i>":[233]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}