{"id":"https://openalex.org/W4405429485","doi":"https://doi.org/10.1109/access.2024.3517163","title":"Foveated Denoising for Ray Tracing Rendering","display_name":"Foveated Denoising for Ray Tracing Rendering","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405429485","doi":"https://doi.org/10.1109/access.2024.3517163"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3517163","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3517163","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3517163","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109746243","display_name":"Daiyun Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Daiyun Guo","raw_affiliation_strings":["School of Software, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-4575-6262","affiliations":[{"raw_affiliation_string":"School of Software, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029848729","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-7549-4725"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["School of Software, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7549-4725","affiliations":[{"raw_affiliation_string":"School of Software, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010767009","display_name":"Xubo Yang","orcid":"https://orcid.org/0000-0001-5378-4003"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xubo Yang","raw_affiliation_strings":["School of Software, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5378-4003","affiliations":[{"raw_affiliation_string":"School of Software, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109746243"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1347,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88564036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"198015","last_page":"198027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9915000200271606,"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":0.9915000200271606,"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":0.9656999707221985,"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":0.9110999703407288,"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/computer-science","display_name":"Computer science","score":0.6912545561790466},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6679925322532654},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.6532670855522156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5714700222015381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.556119441986084},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.550421416759491},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.47584864497184753},{"id":"https://openalex.org/keywords/distributed-ray-tracing","display_name":"Distributed ray tracing","score":0.43787962198257446},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.42885512113571167},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09376436471939087},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07812216877937317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912545561790466},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6679925322532654},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.6532670855522156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5714700222015381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.556119441986084},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.550421416759491},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.47584864497184753},{"id":"https://openalex.org/C82744980","wikidata":"https://www.wikidata.org/wiki/Q951513","display_name":"Distributed ray tracing","level":3,"score":0.43787962198257446},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.42885512113571167},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09376436471939087},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07812216877937317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3517163","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3517163","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:41631163bffb4591aac424bed076bfd7","is_oa":true,"landing_page_url":"https://doaj.org/article/41631163bffb4591aac424bed076bfd7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 198015-198027 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3517163","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3517163","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1968607211","https://openalex.org/W2056898486","https://openalex.org/W2099244020","https://openalex.org/W2102727143","https://openalex.org/W2118573764","https://openalex.org/W2133665775","https://openalex.org/W2141958575","https://openalex.org/W2244684328","https://openalex.org/W2551546500","https://openalex.org/W2623808720","https://openalex.org/W2737368828","https://openalex.org/W2739234443","https://openalex.org/W2755643607","https://openalex.org/W2941909038","https://openalex.org/W2951412969","https://openalex.org/W3152404362","https://openalex.org/W3159007536","https://openalex.org/W3185636239","https://openalex.org/W3195352639","https://openalex.org/W3196876625","https://openalex.org/W4211079576","https://openalex.org/W4224297016","https://openalex.org/W4288069302","https://openalex.org/W4295308135","https://openalex.org/W4296540581","https://openalex.org/W4313451221","https://openalex.org/W4385657597","https://openalex.org/W4391341842","https://openalex.org/W4394811246","https://openalex.org/W4394825473","https://openalex.org/W4400819612","https://openalex.org/W4402402076","https://openalex.org/W6682040348","https://openalex.org/W6779952687","https://openalex.org/W6780182059"],"related_works":["https://openalex.org/W2790684390","https://openalex.org/W3163067707","https://openalex.org/W2157260840","https://openalex.org/W2012819262","https://openalex.org/W2159421682","https://openalex.org/W3014571735","https://openalex.org/W2362326179","https://openalex.org/W1980536927","https://openalex.org/W2543239617","https://openalex.org/W2182531050"],"abstract_inverted_index":{"Foveated":[0],"graphics":[1],"allocate":[2],"computational":[3,192],"load":[4],"in":[5,55,74,194],"light":[6],"of":[7,11,21,30,47,51,68,77,87,97],"the":[8,12,18,26,31,44,49,65,69,75,85,94,112,147,172,182],"non-uniform":[9,66],"nature":[10],"human":[13],"visual":[14,35,89],"system":[15],"(HVS),":[16],"accelerating":[17],"scene":[19],"rendering":[20,45],"virtual":[22],"reality":[23],"(VR).":[24],"Although":[25],"asymmetrical":[27],"spatial":[28],"sensitivity":[29,54,86],"HVS,":[32],"such":[33],"as":[34],"acuity,":[36],"is":[37,57,91,131,138,149,158],"widely":[38],"recognized":[39],"and":[40,146],"exploited":[41],"to":[42,71,93,181],"improve":[43],"performance":[46],"VR,":[48],"variation":[50,96],"temporal":[52,152],"contrast":[53],"FOVs":[56],"less":[58],"explored.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"quantify":[64],"response":[67],"HVS":[70],"flickering":[72],"noise":[73],"field":[76,90],"views":[78],"(FOVs)":[79],"by":[80,164],"an":[81],"SSIM-based":[82],"model,":[83],"where":[84],"each":[88],"proportional":[92],"tolerated":[95],"local":[98],"SSIM":[99,121],"per":[100],"frame.":[101],"Our":[102],"pilot":[103],"experiment":[104,169],"reveals":[105],"that":[106],"denoising":[107,129,174,185],"requirements":[108],"vary":[109],"significantly":[110],"across":[111],"FOV,":[113],"with":[114,140,151,160],"central":[115,134],"vision":[116,135],"demanding":[117],"a":[118,127],"more":[119],"stable":[120],"variation.":[122],"Based":[123],"on":[124],"these":[125],"findings,":[126],"foveated":[128,173],"method":[130,175,186],"proposed.":[132],"The":[133,168],"within":[136],"18.5\u00b0":[137],"rendered":[139,150,163],"deep":[141],"learning":[142],"(DL)":[143],"based":[144],"denoising,":[145],"periphery":[148],"anti-aliasing":[153],"(TAA).":[154],"A":[155],"user":[156],"study":[157],"conducted":[159],"VR":[161],"scenes":[162],"using":[165],"ray":[166],"tracing.":[167],"results":[170],"demonstrate":[171],"provides":[176],"perceptually":[177],"comparable":[178],"image":[179],"quality":[180],"global":[183],"DL-based":[184],"while":[187],"saving":[188],"at":[189],"least":[190],"40.22%":[191],"cost":[193],"VR.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}