{"id":"https://openalex.org/W4389539471","doi":"https://doi.org/10.1145/3610548.3618243","title":"Example-Based Sampling with Diffusion Models","display_name":"Example-Based Sampling with Diffusion Models","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4389539471","doi":"https://doi.org/10.1145/3610548.3618243"},"language":"en","primary_location":{"id":"doi:10.1145/3610548.3618243","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610548.3618243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2023 Conference Papers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04235704","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018193824","display_name":"Bastien Doignies","orcid":"https://orcid.org/0009-0006-9225-5407"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bastien Doignies","raw_affiliation_strings":["Univ Lyon, France and UCBL, France and CNRS, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, France and UCBL, France and CNRS, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016343199","display_name":"Nicolas Bonneel","orcid":"https://orcid.org/0000-0001-5243-4810"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Bonneel","raw_affiliation_strings":["Univ Lyon, France and CNRS, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, France and CNRS, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089992437","display_name":"David C\u0153urjolly","orcid":"https://orcid.org/0000-0003-3164-8697"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Coeurjolly","raw_affiliation_strings":["Univ Lyon, France and CNRS, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, France and CNRS, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003311308","display_name":"Julie Digne","orcid":"https://orcid.org/0000-0003-0905-0840"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julie Digne","raw_affiliation_strings":["Univ Lyon, France and CNRS, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, France and CNRS, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006839573","display_name":"Lo\u00efs Paulin","orcid":"https://orcid.org/0000-0001-9170-8407"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Lo\u00efs Paulin","raw_affiliation_strings":["Univ Lyon, France and UCBL, France","Adobe Advanced Technology Labs - Adobe Systems Inc. (United States)"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, France and UCBL, France","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Adobe Advanced Technology Labs - Adobe Systems Inc. (United States)","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019330256","display_name":"Jean\u2010Claude Iehl","orcid":"https://orcid.org/0000-0001-6877-2398"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Claude Iehl","raw_affiliation_strings":["Univ Lyon, France and UCBL, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, France and UCBL, France","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066817482","display_name":"Victor Ostromoukhov","orcid":"https://orcid.org/0009-0004-3123-9388"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Victor Ostromoukhov","raw_affiliation_strings":["Univ Lyon, France and UCBL, France"],"affiliations":[{"raw_affiliation_string":"Univ Lyon, France and UCBL, France","institution_ids":["https://openalex.org/I100532134"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5018193824"],"corresponding_institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":0.3584,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61296722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9957000017166138,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9957000017166138,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9889000058174133,"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":0.9833999872207642,"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":0.7379894256591797},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.7194535136222839},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6401810646057129},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5201557278633118},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5146647095680237},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5005495548248291},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4780993163585663},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4552948772907257},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.44761285185813904},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43393343687057495},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.43374183773994446},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43195295333862305},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3638250231742859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2871769070625305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1833345890045166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1690429449081421},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11584344506263733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379894256591797},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.7194535136222839},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6401810646057129},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5201557278633118},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5146647095680237},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5005495548248291},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4780993163585663},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4552948772907257},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.44761285185813904},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43393343687057495},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.43374183773994446},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43195295333862305},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3638250231742859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2871769070625305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1833345890045166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1690429449081421},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11584344506263733},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3610548.3618243","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610548.3618243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2023 Conference Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04235704v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04235704","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"Siggraph Asia, ACM Siggraph, Dec 2023, Sydney, Australia. &#x27E8;10.1145/3610548.3618243&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04235704v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04235704","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"Siggraph Asia, ACM Siggraph, Dec 2023, Sydney, Australia. &#x27E8;10.1145/3610548.3618243&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7669114672","display_name":null,"funder_award_id":"ANR-20-CE45-0025","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W87152119","https://openalex.org/W97112242","https://openalex.org/W1901129140","https://openalex.org/W1967775161","https://openalex.org/W1969253908","https://openalex.org/W1975498219","https://openalex.org/W1980376149","https://openalex.org/W1984609374","https://openalex.org/W1992727072","https://openalex.org/W2011172006","https://openalex.org/W2019187323","https://openalex.org/W2029241756","https://openalex.org/W2037767367","https://openalex.org/W2043682027","https://openalex.org/W2043838691","https://openalex.org/W2046250075","https://openalex.org/W2049153601","https://openalex.org/W2089508486","https://openalex.org/W2099594591","https://openalex.org/W2112126852","https://openalex.org/W2144337074","https://openalex.org/W2398934262","https://openalex.org/W2528567655","https://openalex.org/W2606202972","https://openalex.org/W2736477328","https://openalex.org/W2790691948","https://openalex.org/W2795374598","https://openalex.org/W2895640157","https://openalex.org/W2978596959","https://openalex.org/W2979652999","https://openalex.org/W3005524234","https://openalex.org/W3032135752","https://openalex.org/W3036167779","https://openalex.org/W3106552726","https://openalex.org/W3136661314","https://openalex.org/W3141954417","https://openalex.org/W3180196270","https://openalex.org/W3185784336","https://openalex.org/W4221146591","https://openalex.org/W4230344947","https://openalex.org/W4233128224","https://openalex.org/W4281642418","https://openalex.org/W4300580367","https://openalex.org/W4308671853","https://openalex.org/W4311806299","https://openalex.org/W4312933868","https://openalex.org/W6728005390","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W4286826125","https://openalex.org/W1633485514","https://openalex.org/W1604739066","https://openalex.org/W2115878407","https://openalex.org/W1980454230"],"abstract_inverted_index":{"Much":[0],"effort":[1],"has":[2],"been":[3],"put":[4],"into":[5],"developing":[6],"samplers":[7,23,100],"with":[8,81],"specific":[9],"properties,":[10],"such":[11,84],"as":[12,85],"producing":[13],"blue":[14],"noise,":[15],"low-discrepancy,":[16],"lattice":[17],"or":[18],"Poisson":[19],"disk":[20],"samples.":[21],"These":[22],"can":[24,157],"be":[25,60,158],"slow":[26],"if":[27],"they":[28],"rely":[29,34],"on":[30,35,137],"optimization":[31],"processes,":[32],"may":[33],"a":[36,90,106,126],"wide":[37],"range":[38],"of":[39,48,113,145,154],"numerical":[40],"methods,":[41],"are":[42],"not":[43],"always":[44],"differentiable.":[45],"The":[46],"success":[47],"recent":[49],"diffusion":[50,107],"models":[51,58],"for":[52,62,79],"image":[53],"generation":[54],"suggests":[55],"that":[56,129],"these":[57,76],"could":[59],"appropriate":[61],"learning":[63,144],"how":[64,151],"to":[65,93,125,132,140,160,164],"generate":[66],"point":[67,86,96,103,162],"sets":[68,97,104,163],"from":[69,101,120,134],"examples.":[70],"However,":[71],"their":[72],"convolutional":[73,114],"nature":[74],"makes":[75],"methods":[77],"impractical":[78],"dealing":[80],"scattered":[82],"data":[83],"sets.":[87],"We":[88,109,149],"propose":[89],"generic":[91],"way":[92],"produce":[94],"2-d":[95],"imitating":[98],"existing":[99],"observed":[102],"using":[105],"model.":[108],"address":[110],"the":[111,142,152],"problem":[112],"layers":[115],"by":[116],"leveraging":[117],"neighborhood":[118],"information":[119],"an":[121],"optimal":[122],"transport":[123],"matching":[124],"uniform":[127],"grid,":[128],"allows":[130],"us":[131],"benefit":[133],"fast":[135],"convolutions":[136],"grids,":[138],"and":[139],"support":[141],"example-based":[143],"non-uniform":[146],"sampling":[147],"patterns.":[148],"demonstrate":[150],"differentiability":[153],"our":[155],"approach":[156],"used":[159],"optimize":[161],"enforce":[165],"properties.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
