{"id":"https://openalex.org/W3164709425","doi":"https://doi.org/10.1145/3450623.3464645","title":"Lessons Learned and Improvements when Building Screen-Space Samplers with Blue-Noise Error Distribution","display_name":"Lessons Learned and Improvements when Building Screen-Space Samplers with Blue-Noise Error Distribution","publication_year":2021,"publication_date":"2021-07-31","ids":{"openalex":"https://openalex.org/W3164709425","doi":"https://doi.org/10.1145/3450623.3464645","mag":"3164709425"},"language":"en","primary_location":{"id":"doi:10.1145/3450623.3464645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450623.3464645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2021 Talks","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.12620","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Laurent Belcour","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laurent Belcour","raw_affiliation_strings":["Unity Technologies, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unity Technologies, France","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Eric Heitz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Heitz","raw_affiliation_strings":["Unity Technologies, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unity Technologies, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3779,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91705709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9986000061035156,"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":0.998199999332428,"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/rendering","display_name":"Rendering (computer graphics)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/mathematical-proof","display_name":"Mathematical proof","score":0.43070000410079956},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3206000030040741},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.2953000068664551},{"id":"https://openalex.org/keywords/systematic-error","display_name":"Systematic error","score":0.29499998688697815},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.2777999937534332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747000217437744},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.43070000410079956},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31200000643730164},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C100253034","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Systematic error","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27869999408721924},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3450623.3464645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450623.3464645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2021 Talks","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.12620","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.12620","pdf_url":"https://arxiv.org/pdf/2105.12620","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.12620","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.12620","pdf_url":"https://arxiv.org/pdf/2105.12620","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2138020995","https://openalex.org/W2489976270","https://openalex.org/W2952528224","https://openalex.org/W3108804300"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2],"shown":[3],"that":[4,77,85],"the":[5,37,56,91,112,115],"error":[6],"of":[7,58,93,111,114],"Monte-Carlo":[8],"rendering":[9],"is":[10,27,78],"visually":[11],"more":[12],"acceptable":[13],"when":[14],"distributed":[15],"as":[16],"blue-noise":[17],"in":[18,97],"screen-space.":[19],"Despite":[20],"recent":[21],"efforts,":[22],"building":[23],"a":[24,51,63,73,81],"screen-space":[25,45,65],"sampler":[26,66],"still":[28],"an":[29],"open":[30],"problem.":[31],"In":[32],"this":[33],"talk,":[34],"we":[35,39,48,61,71,89,107],"present":[36],"lessons":[38],"learned":[40],"while":[41],"improving":[42],"our":[43],"previous":[44],"sampler.":[46],"Specifically:":[47],"advocate":[49],"for":[50],"new":[52,64],"criterion":[53],"to":[54,101],"assess":[55],"quality":[57],"such":[59,95],"samplers;":[60],"introduce":[62],"based":[67],"on":[68],"rank-1":[69],"lattices;":[70],"provide":[72,108],"parallel":[74],"optimization":[75,116],"method":[76],"compatible":[79],"with":[80,103],"GPU":[82],"implementation":[83],"and":[84,99,106],"achieves":[86],"better":[87],"quality;":[88],"detail":[90],"pitfalls":[92],"using":[94],"samplers":[96],"renderers":[98],"how":[100],"cope":[102],"many":[104],"dimensions;":[105],"empirical":[109],"proofs":[110],"versatility":[113],"process.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-06-07T00:00:00"}
