{"id":"https://openalex.org/W4404525304","doi":"https://doi.org/10.1145/3687938","title":"Online Neural Denoising with Cross-Regression for Interactive Rendering","display_name":"Online Neural Denoising with Cross-Regression for Interactive Rendering","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404525304","doi":"https://doi.org/10.1145/3687938"},"language":"en","primary_location":{"id":"doi:10.1145/3687938","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687938","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687938","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3687938","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064603893","display_name":"Hajin Choi","orcid":"https://orcid.org/0000-0001-9488-9514"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hajin Choi","raw_affiliation_strings":["Gwangju Institute of Science and Technology, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Gwangju Institute of Science and Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004844091","display_name":"Seokpyo Hong","orcid":"https://orcid.org/0000-0001-7090-146X"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokpyo Hong","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Suwon, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011283927","display_name":"Inwoo Ha","orcid":"https://orcid.org/0009-0006-0557-526X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Inwoo Ha","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","Samsung Advanced Institute of Technology, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Suwon, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078291399","display_name":"Nahyup Kang","orcid":"https://orcid.org/0000-0002-8067-8764"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nahyup Kang","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Suwon, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085021305","display_name":"Bochang Moon","orcid":"https://orcid.org/0000-0003-3142-0115"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bochang Moon","raw_affiliation_strings":["Gwangju Institute of Science and Technology, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Gwangju Institute of Science and Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064603893"],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":null,"apc_paid":null,"fwci":3.1629,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95403936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"43","issue":"6","first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9991000294685364,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/rendering","display_name":"Rendering (computer graphics)","score":0.6976431012153625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6743533611297607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5879377722740173},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5100937485694885},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4813062250614166},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4256511628627777},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38398683071136475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3632493019104004},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23042556643486023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22935602068901062}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6976431012153625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743533611297607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5879377722740173},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5100937485694885},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4813062250614166},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4256511628627777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38398683071136475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3632493019104004},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23042556643486023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22935602068901062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3687938","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687938","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687938","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3687938","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687938","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687938","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4404525304.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1971958581","https://openalex.org/W2011793254","https://openalex.org/W2017977879","https://openalex.org/W2020681231","https://openalex.org/W2024081693","https://openalex.org/W2047913565","https://openalex.org/W2096500711","https://openalex.org/W2102727143","https://openalex.org/W2133665775","https://openalex.org/W2139189324","https://openalex.org/W2207744012","https://openalex.org/W2499316477","https://openalex.org/W2505636029","https://openalex.org/W2735974062","https://openalex.org/W2737368828","https://openalex.org/W2738449271","https://openalex.org/W2951412969","https://openalex.org/W2972600666","https://openalex.org/W3015136933","https://openalex.org/W3043521633","https://openalex.org/W3043605936","https://openalex.org/W3086190093","https://openalex.org/W3109789611","https://openalex.org/W3176679482","https://openalex.org/W3179416528","https://openalex.org/W3183677218","https://openalex.org/W3185636239","https://openalex.org/W4200326209","https://openalex.org/W4286611306","https://openalex.org/W4308015620","https://openalex.org/W4311805849","https://openalex.org/W4387769563","https://openalex.org/W6653408500","https://openalex.org/W6740885744","https://openalex.org/W6840082572"],"related_works":["https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W3137044537","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W2172753644","https://openalex.org/W2170209930","https://openalex.org/W4246858109","https://openalex.org/W54172855"],"abstract_inverted_index":{"Generating":[0],"a":[1,53,77,122,132,165],"rendered":[2],"image":[3,44,60,73,102,117,150,189],"sequence":[4],"through":[5],"Monte":[6],"Carlo":[7],"ray":[8],"tracing":[9],"is":[10],"an":[11,40,98,207],"appealing":[12],"option":[13],"when":[14],"one":[15],"aims":[16],"to":[17,56,164],"accurately":[18],"simulate":[19],"various":[20],"lighting":[21],"effects.":[22],"Unfortunately,":[23],"interactive":[24,72,116],"rendering":[25],"scenarios":[26],"limit":[27],"the":[28,90,112,142,201],"allowable":[29],"sample":[30],"size":[31],"for":[32,71,115],"such":[33,58],"sampling-based":[34],"light":[35],"transport":[36],"algorithms,":[37],"resulting":[38],"in":[39,187,205],"unbiased":[41],"but":[42,64],"noisy":[43,59],"sequence.":[45],"Image":[46],"denoising":[47,74,155,175,182],"has":[48],"been":[49],"widely":[50],"adopted":[51],"as":[52],"post-sampling":[54],"process":[55],"convert":[57],"sequences":[61,190],"into":[62],"biased":[63],"temporally":[65],"stable":[66],"ones.":[67],"The":[68],"state-of-the-art":[69],"strategy":[70,135],"involves":[75],"devising":[76],"deep":[78],"neural":[79,123,176],"network":[80,84,91,139],"and":[81,105,196],"training":[82,94,172],"this":[83],"via":[85],"supervised":[86,128],"learning,":[87,129,159],"i.e.,":[88,144],"optimizing":[89],"parameters":[92,140],"using":[93,148],"datasets":[95],"that":[96,136,168,180],"include":[97],"extensive":[99],"set":[100],"of":[101,127,173],"pairs":[103],"(noisy":[104],"ground":[106],"truth":[107],"images).":[108],"This":[109],"paper":[110],"adopts":[111],"prevalent":[113],"approach":[114],"denoising,":[118],"which":[119],"relies":[120],"on":[121,141],"network.":[124,177],"However,":[125],"instead":[126],"we":[130,160],"propose":[131],"different":[133],"learning":[134],"trains":[137],"our":[138,154,174,181],"fly,":[143],"updating":[145],"them":[146],"online":[147,158],"runtime":[149],"sequences.":[151],"To":[152],"achieve":[153],"objective":[156],"with":[157],"tailor":[161],"local":[162],"regression":[163],"cross-regression":[166],"form":[167],"can":[169],"guide":[170],"robust":[171],"We":[178],"demonstrate":[179],"framework":[183],"effectively":[184],"reduces":[185],"noise":[186],"input":[188],"while":[191],"robustly":[192],"preserving":[193],"both":[194],"geometric":[195],"non-geometric":[197],"edges,":[198],"without":[199],"requiring":[200],"manual":[202],"effort":[203],"involved":[204],"preparing":[206],"external":[208],"dataset.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}