{"id":"https://openalex.org/W2963349120","doi":"https://doi.org/10.1145/3306214.3338582","title":"A data-driven compression method for transient rendering","display_name":"A data-driven compression method for transient rendering","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2963349120","doi":"https://doi.org/10.1145/3306214.3338582","mag":"2963349120"},"language":"en","primary_location":{"id":"doi:10.1145/3306214.3338582","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3306214.3338582","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3306214.3338582","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2019 Posters","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3306214.3338582","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100604862","display_name":"Yun Liang","orcid":"https://orcid.org/0000-0003-0799-0054"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Liang","raw_affiliation_strings":["South China Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Agricultural University","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072749467","display_name":"Mingqin Chen","orcid":"https://orcid.org/0000-0002-1904-6688"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqin Chen","raw_affiliation_strings":["South China Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Agricultural University","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020170608","display_name":"Zesheng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zesheng Huang","raw_affiliation_strings":["South China Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Agricultural University","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001550110","display_name":"Diego Guti\u00e9rrez","orcid":"https://orcid.org/0000-0002-7503-7022"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Diego Gutierrez","raw_affiliation_strings":["Universidad de Zaragoza"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Zaragoza","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897949","display_name":"Adolfo Mu\u00f1oz","orcid":"https://orcid.org/0000-0002-8160-7159"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Adolfo Mu\u00f1oz","raw_affiliation_strings":["Universidad de Zaragoza"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Zaragoza","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088679974","display_name":"Julio Marco","orcid":"https://orcid.org/0000-0001-9960-8945"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Julio Marco","raw_affiliation_strings":["Universidad de Zaragoza"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Zaragoza","institution_ids":["https://openalex.org/I255234318"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4306,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79683629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9977999925613403,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8039063811302185},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7177006006240845},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5578761100769043},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.49709466099739075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4649222195148468},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.4451865553855896},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4435698390007019},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44016844034194946},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4342654347419739},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4265560209751129},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08929872512817383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0766381323337555}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039063811302185},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7177006006240845},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5578761100769043},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.49709466099739075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4649222195148468},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.4451865553855896},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4435698390007019},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44016844034194946},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4342654347419739},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4265560209751129},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08929872512817383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0766381323337555},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3306214.3338582","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3306214.3338582","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3306214.3338582","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2019 Posters","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3306214.3338582","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3306214.3338582","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3306214.3338582","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2019 Posters","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1299668257","display_name":null,"funder_award_id":"TIN2016-78753-P","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G3926633015","display_name":"\u76ee\u6807\u5916\u89c2\u5267\u70c8\u53d8\u5316\u573a\u666f\u4e0b\u7684\u89c6\u9891\u8ddf\u8e2a\u548c\u5206\u5272\u7814\u7a76","funder_award_id":"61772209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6237368722","display_name":"Intuitive editing of visual appearance from real-world datasets","funder_award_id":"682080","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G7272815782","display_name":null,"funder_award_id":"2016A050502050","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963349120.pdf","grobid_xml":"https://content.openalex.org/works/W2963349120.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2025768430","https://openalex.org/W2076954462","https://openalex.org/W2194775991","https://openalex.org/W2768431869","https://openalex.org/W2884480653","https://openalex.org/W2916420605","https://openalex.org/W2966437379","https://openalex.org/W3106403396"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W3097449145","https://openalex.org/W2561617217","https://openalex.org/W4390516098","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W4243145179","https://openalex.org/W2181948922","https://openalex.org/W4255875982","https://openalex.org/W4244853958"],"abstract_inverted_index":{"Monte":[0],"Carlo":[1],"methods":[2],"for":[3,20,27],"transient":[4,16,93,105,133],"rendering":[5],"have":[6],"become":[7],"a":[8,25,48,53,66,97,110],"powerful":[9],"instrument":[10],"to":[11,32,76,96],"generate":[12],"reliable":[13],"data":[14,41],"in":[15,132],"imaging":[17],"applications,":[18],"either":[19],"benchmarking,":[21],"analysis,":[22],"or":[23],"as":[24],"source":[26],"data-driven":[28],"approaches.":[29],"However,":[30],"due":[31],"the":[33,103,123,129],"increased":[34],"dimensionality":[35],"of":[36,52,59,72,81,91,99,109,128],"time-resolved":[37,50,82],"renders,":[38],"storage":[39],"and":[40,101],"bandwidth":[42],"are":[43],"significant":[44],"limiting":[45],"constraints,":[46],"where":[47],"single":[49],"render":[51],"scene":[54],"can":[55],"take":[56],"several":[57],"hundreds":[58],"megabytes.":[60],"In":[61],"this":[62],"work":[63],"we":[64,113],"propose":[65],"learning-based":[67],"approach":[68],"that":[69],"makes":[70],"use":[71,108],"deep":[73],"encoder-decoder":[74],"architectures":[75],"learn":[77],"lower-dimensional":[78],"feature":[79],"vectors":[80],"pixels.":[83],"We":[84],"demonstrate":[85],"how":[86,115],"our":[87,116],"method":[88],"is":[89],"capable":[90],"compressing":[92],"renders":[94],"up":[95],"factor":[98],"32,":[100],"recover":[102],"full":[104],"profile":[106],"making":[107],"decoder.":[111],"Additionally,":[112],"show":[114],"learned":[117],"features":[118],"significantly":[119],"mitigate":[120],"variance":[121],"on":[122],"recovered":[124],"signal,":[125],"addressing":[126],"one":[127],"pathological":[130],"problems":[131],"rendering.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
