{"id":"https://openalex.org/W2801243839","doi":"https://doi.org/10.1145/3190834.3190847","title":"Learning real-time ambient occlusion from distance representations","display_name":"Learning real-time ambient occlusion from distance representations","publication_year":2018,"publication_date":"2018-05-02","ids":{"openalex":"https://openalex.org/W2801243839","doi":"https://doi.org/10.1145/3190834.3190847","mag":"2801243839"},"language":"en","primary_location":{"id":"doi:10.1145/3190834.3190847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3190834.3190847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","raw_type":"proceedings-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/A5018057828","display_name":"Benjamin Keinert","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Benjamin Keinert","raw_affiliation_strings":["University of Erlangen-Nuremberg"],"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078694623","display_name":"Jana Martschinke","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jana Martschinke","raw_affiliation_strings":["University of Erlangen-Nuremberg"],"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053580386","display_name":"Marc Stamminger","orcid":"https://orcid.org/0000-0001-8699-3442"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc Stamminger","raw_affiliation_strings":["University of Erlangen-Nuremberg"],"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018057828"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.53124886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9986000061035156,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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/occlusion","display_name":"Occlusion","score":0.7878409624099731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6868828535079956},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6134265065193176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6007125377655029},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6004668474197388},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5558517575263977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5427165627479553},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43731021881103516},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41504910588264465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23549431562423706}],"concepts":[{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.7878409624099731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868828535079956},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6134265065193176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6007125377655029},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6004668474197388},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5558517575263977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5427165627479553},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43731021881103516},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41504910588264465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23549431562423706},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3190834.3190847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3190834.3190847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W65018654","https://openalex.org/W131832153","https://openalex.org/W655574946","https://openalex.org/W1502588543","https://openalex.org/W1522301498","https://openalex.org/W1572063013","https://openalex.org/W1971126479","https://openalex.org/W1976928721","https://openalex.org/W1993244675","https://openalex.org/W2020681231","https://openalex.org/W2021800349","https://openalex.org/W2048820176","https://openalex.org/W2059108264","https://openalex.org/W2084662247","https://openalex.org/W2091019609","https://openalex.org/W2095606974","https://openalex.org/W2133665775","https://openalex.org/W2134611578","https://openalex.org/W2144513243","https://openalex.org/W2163994060","https://openalex.org/W2253384681","https://openalex.org/W2284420399","https://openalex.org/W2311236754","https://openalex.org/W2384495648","https://openalex.org/W2507066340","https://openalex.org/W2554570435","https://openalex.org/W2562637781","https://openalex.org/W2755063399","https://openalex.org/W4214850435","https://openalex.org/W4245239830","https://openalex.org/W4297833218"],"related_works":["https://openalex.org/W1632903234","https://openalex.org/W2054021310","https://openalex.org/W3004045746","https://openalex.org/W2134275852","https://openalex.org/W1766899219","https://openalex.org/W2613077666","https://openalex.org/W2914179169","https://openalex.org/W126849150","https://openalex.org/W2072196951","https://openalex.org/W2706905479"],"abstract_inverted_index":{"The":[0],"computation":[1],"of":[2,64,145,156],"partial":[3],"occlusion,":[4],"as":[5],"required":[6],"for":[7,71,87],"ambient":[8,31,92],"occlusion":[9,32,57,89,93,135],"or":[10],"soft":[11,138],"shadows,":[12],"provides":[13],"visually":[14],"important":[15],"cues":[16],"but":[17],"is":[18,113],"notoriously":[19],"expensive.":[20],"In":[21],"this":[22],"paper":[23],"we":[24,75,140,149],"propose":[25],"a":[26,52,60,65],"novel":[27],"solution":[28],"to":[29,45,84,133],"the":[30],"problem,":[33],"combining":[34],"signed":[35,66],"distance":[36,67],"scene":[37],"representations":[38],"and":[39,47,101,106,127,153],"machine":[40,117],"learning.":[41],"We":[42],"demonstrate":[43],"how":[44],"learn":[46],"apply":[48],"mappings":[49,74],"which":[50,81,120],"approximate":[51],"ray":[53],"traced":[54],"ground":[55],"truth":[56],"using":[58],"only":[59],"few":[61],"nearby":[62],"samples":[63],"representation.":[68],"As":[69],"representation":[70],"our":[72,110,128,146,157],"trained":[73],"use":[76],"small":[77],"feed-forward":[78],"neural":[79],"networks":[80],"are":[82,130],"fast":[83],"evaluate,":[85],"allowing":[86],"real-time":[88],"queries.":[90],"Our":[91],"approximation":[94],"outperforms":[95],"state-of-the-art":[96],"methods":[97],"in":[98],"both":[99],"quality":[100],"performance,":[102],"yielding":[103],"temporally":[104],"stable":[105],"smooth":[107],"results.":[108],"Since":[109],"training":[111],"data":[112,126],"different":[114],"from":[115],"typical":[116],"learning":[118],"approaches":[119],"mostly":[121],"deal":[122],"with":[123],"2D/3D":[124],"image":[125],"techniques":[129],"also":[131],"applicable":[132],"other":[134],"problems":[136],"(e.g.":[137],"shadows),":[139],"give":[141],"an":[142],"in-depth":[143],"overview":[144],"framework.":[147],"Furthermore,":[148],"discuss":[150],"arising":[151],"artifacts":[152],"possible":[154],"extensions":[155],"approach.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}