{"id":"https://openalex.org/W3010685923","doi":"https://doi.org/10.5220/0009156303610367","title":"Machine Learning is the Solution Also for Foveated Path Tracing Reconstruction","display_name":"Machine Learning is the Solution Also for Foveated Path Tracing Reconstruction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010685923","doi":"https://doi.org/10.5220/0009156303610367","mag":"3010685923"},"language":"en","primary_location":{"id":"doi:10.5220/0009156303610367","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009156303610367","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0009156303610367","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072283726","display_name":"Atro Lotvonen","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Atro Lotvonen","raw_affiliation_strings":["Tampere University, Finland, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Tampere University, Finland, --- Select a Country ---","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088868532","display_name":"Matias Koskela","orcid":"https://orcid.org/0000-0002-5839-7640"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Matias Koskela","raw_affiliation_strings":["Tampere University, Finland, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Tampere University, Finland, --- Select a Country ---","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050272735","display_name":"Pekka J\u00e4\u00e4skel\u00e4inen","orcid":"https://orcid.org/0000-0001-5707-8544"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Pekka J\u00e4\u00e4skel\u00e4inen","raw_affiliation_strings":["Tampere University, Finland, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Tampere University, Finland, --- Select a Country ---","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072283726"],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02423813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.5719000101089478,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.5719000101089478,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6833276748657227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5931414365768433},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5607617497444153},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5371246337890625},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5328261256217957},{"id":"https://openalex.org/keywords/path-tracing","display_name":"Path tracing","score":0.5175944566726685},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3818654417991638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833276748657227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5931414365768433},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5607617497444153},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5371246337890625},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5328261256217957},{"id":"https://openalex.org/C110541219","wikidata":"https://www.wikidata.org/wiki/Q72948","display_name":"Path tracing","level":3,"score":0.5175944566726685},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3818654417991638},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0009156303610367","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009156303610367","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/217231","is_oa":true,"landing_page_url":"https://trepo.tuni.fi/handle/10024/217231","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference"}],"best_oa_location":{"id":"doi:10.5220/0009156303610367","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009156303610367","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2123398485","https://openalex.org/W2000438891","https://openalex.org/W2141816486","https://openalex.org/W2356898439","https://openalex.org/W3041549326","https://openalex.org/W2124118389","https://openalex.org/W2165225826","https://openalex.org/W2086485932","https://openalex.org/W2356804002","https://openalex.org/W116099850"],"abstract_inverted_index":{"Real-time":[0],"photorealistic":[1],"rendering":[2,10],"requires":[3,32],"a":[4,94,151],"lot":[5],"of":[6,48,78,108],"computational":[7],"power.":[8],"Foveated":[9],"reduces":[11],"the":[12,16,20,25,30,46,53,76,105,119,126,132,139],"work":[13],"by":[14,113],"focusing":[15],"effort":[17],"to":[18,84,88,103,123],"where":[19,52],"user":[21],"is":[22,41,101,121,142],"looking,":[23],"but":[24],"very":[26],"sparse":[27,54],"sampling":[28],"in":[29,45,75,125],"periphery":[31],"fast":[33],"reconstruction":[34,106,137],"algorithms":[35],"with":[36],"good":[37],"quality.":[38],"The":[39,136],"problem":[40],"even":[42],"more":[43],"complicated":[44],"field":[47],"foveated":[49,80,109,129],"path":[50,110,133],"tracing":[51,134],"samples":[55],"are":[56],"also":[57],"noisy.":[58],"In":[59,82],"this":[60,90],"position":[61],"paper":[62],"we":[63,92],"argue":[64],"that":[65],"machine":[66,96],"learning":[67,97],"and":[68],"data-driven":[69],"methods":[70],"play":[71],"an":[72],"important":[73],"role":[74],"future":[77],"real-time":[79],"rendering.":[81],"order":[83],"show":[85],"initial":[86],"proofs":[87],"support":[89],"opinion,":[91],"propose":[93],"preliminary":[95,140],"based":[98],"method":[99,120],"which":[100],"able":[102,122],"improve":[104],"quality":[107],"traced":[111],"image":[112],"using":[114,138],"spatio-temporal":[115],"input":[116],"data.":[117],"Moreover,":[118],"run":[124],"same":[127],"reduced":[128],"resolution":[130],"as":[131],"setup.":[135],"network":[141],"about":[143],"2.9ms":[144],"per":[145],"658":[146],"\u00d7":[147],"960":[148],"frame":[149],"on":[150],"GeForce":[152],"RTX":[153],"2080":[154],"Ti":[155],"GPU.":[156]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}