{"id":"https://openalex.org/W4200326209","doi":"https://doi.org/10.1145/3478513.3480565","title":"Monte Carlo denoising via auxiliary feature guided self-attention","display_name":"Monte Carlo denoising via auxiliary feature guided self-attention","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4200326209","doi":"https://doi.org/10.1145/3478513.3480565"},"language":"en","primary_location":{"id":"doi:10.1145/3478513.3480565","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478513.3480565","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5101867063","display_name":"Jiaqi Yu","orcid":"https://orcid.org/0009-0009-7864-7254"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Yu","raw_affiliation_strings":["South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083221103","display_name":"Yongwei Nie","orcid":"https://orcid.org/0000-0002-8922-3205"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongwei Nie","raw_affiliation_strings":["South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027540915","display_name":"Chengjiang Long","orcid":"https://orcid.org/0000-0003-1584-7290"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengjiang Long","raw_affiliation_strings":["JD Finance America Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD Finance America Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031765917","display_name":"Wenju Xu","orcid":"https://orcid.org/0000-0003-2740-0357"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenju Xu","raw_affiliation_strings":["InnoPeak Technology Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InnoPeak Technology Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358770","display_name":"Qing Zhang","orcid":"https://orcid.org/0000-0001-5312-2800"},"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":"Qing Zhang","raw_affiliation_strings":["Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067363489","display_name":"Guiqing Li","orcid":"https://orcid.org/0000-0002-4598-1522"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiqing Li","raw_affiliation_strings":["South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7115,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.91457454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"40","issue":"6","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996999979019165,"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":0.9962000250816345,"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":0.7899784445762634},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6171102523803711},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5761875510215759},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5337548851966858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5174587368965149},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46760857105255127},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.46587157249450684},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4160766005516052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33146369457244873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10175031423568726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7899784445762634},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6171102523803711},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5761875510215759},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5337548851966858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5174587368965149},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46760857105255127},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.46587157249450684},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4160766005516052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33146369457244873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10175031423568726},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3478513.3480565","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478513.3480565","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G1410054889","display_name":null,"funder_award_id":"2019A1515010860, 2021A1515012301","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3269303367","display_name":null,"funder_award_id":"D2190670","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3407138199","display_name":null,"funder_award_id":"62072191,61972160, 61802453","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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1974524841","https://openalex.org/W1977778188","https://openalex.org/W1979011254","https://openalex.org/W1984696318","https://openalex.org/W2020681231","https://openalex.org/W2036532817","https://openalex.org/W2077323204","https://openalex.org/W2097073572","https://openalex.org/W2097117768","https://openalex.org/W2125561951","https://openalex.org/W2135359136","https://openalex.org/W2207744012","https://openalex.org/W2466064361","https://openalex.org/W2737368828","https://openalex.org/W2738449271","https://openalex.org/W2811168853","https://openalex.org/W2903914407","https://openalex.org/W2944270038","https://openalex.org/W2944820846","https://openalex.org/W2958080091","https://openalex.org/W2963091558","https://openalex.org/W2964046397","https://openalex.org/W2971100256","https://openalex.org/W2972600666","https://openalex.org/W2978132914","https://openalex.org/W3006224067","https://openalex.org/W3014685569","https://openalex.org/W3034655362","https://openalex.org/W3034779438","https://openalex.org/W3035022492","https://openalex.org/W3097065222","https://openalex.org/W3109789611","https://openalex.org/W3110029631","https://openalex.org/W3134812768","https://openalex.org/W3142122793","https://openalex.org/W3179869055","https://openalex.org/W3183677218","https://openalex.org/W4229958016","https://openalex.org/W4241614188","https://openalex.org/W4242198876","https://openalex.org/W4244324388"],"related_works":["https://openalex.org/W2997512100","https://openalex.org/W2331043530","https://openalex.org/W2961085424","https://openalex.org/W2393933887","https://openalex.org/W4306674287","https://openalex.org/W2374725260","https://openalex.org/W1607315280","https://openalex.org/W4386140649","https://openalex.org/W4224009465","https://openalex.org/W2383403914"],"abstract_inverted_index":{"While":[0],"self-attention":[1,35,47,72,79,122,125,156],"has":[2,25],"been":[3,28],"successfully":[4],"applied":[5],"in":[6,19,53],"a":[7,34,94,106,113,127],"variety":[8],"of":[9,88,102,116,145],"natural":[10],"language":[11],"processing":[12],"and":[13,143],"computer":[14],"vision":[15],"tasks,":[16],"its":[17],"application":[18],"Monte":[20],"Carlo":[21],"(MC)":[22],"image":[23],"denoising":[24,38,65,159],"not":[26],"yet":[27],"well":[29],"explored.":[30],"This":[31],"paper":[32],"presents":[33],"based":[36,42,157],"MC":[37,90,158],"deep":[39],"learning":[40],"network":[41],"on":[43],"the":[44,54,64,70,82,89,100,120,141,146,154,162],"fact":[45],"that":[46,80,135,153],"is":[48],"essentially":[49],"non-local":[50],"means":[51],"filtering":[52],"embedding":[55],"space":[56],"which":[57,111],"makes":[58],"it":[59],"inherently":[60],"very":[61],"suitable":[62],"for":[63,119],"task.":[66],"Particularly,":[67],"we":[68,104,131],"modify":[69],"standard":[71],"mechanism":[73],"to":[74,97],"an":[75],"auxiliary":[76,85],"feature":[77,86,108],"guided":[78],"considers":[81],"by-products":[83],"(e.g.,":[84],"buffers)":[87],"rendering":[91],"process.":[92],"As":[93,124],"critical":[95],"prerequisite":[96],"fully":[98],"exploit":[99],"performance":[101],"self-attention,":[103],"design":[105,148],"multi-scale":[107],"extraction":[109],"stage,":[110],"provides":[112],"rich":[114],"set":[115],"raw":[117],"features":[118],"later":[121],"module.":[123],"poses":[126],"high":[128],"computational":[129],"complexity,":[130],"describe":[132],"several":[133],"ways":[134],"accelerate":[136],"it.":[137],"Ablation":[138],"experiments":[139,151],"validate":[140],"necessity":[142],"effectiveness":[144],"above":[147],"choices.":[149],"Comparison":[150],"show":[152],"proposed":[155],"method":[160],"outperforms":[161],"current":[163],"state-of-the-art":[164],"methods.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
