{"id":"https://openalex.org/W2799397159","doi":"https://doi.org/10.1109/isacv.2018.8354080","title":"Deep generative models: Survey","display_name":"Deep generative models: Survey","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2799397159","doi":"https://doi.org/10.1109/isacv.2018.8354080","mag":"2799397159"},"language":"en","primary_location":{"id":"doi:10.1109/isacv.2018.8354080","doi":"https://doi.org/10.1109/isacv.2018.8354080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isacv.2018.8354080","pdf_url":null,"source":{"id":"https://openalex.org/S7407086560","display_name":"International Conference on Intelligent Systems and Computer Vision (ISCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5017510987","display_name":"Achraf Oussidi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Achraf Oussidi","raw_affiliation_strings":["Data Science and Big Data ENSIAS, Mohammed V University, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science and Big Data ENSIAS, Mohammed V University, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024021305","display_name":"Azeddine Elhassouny","orcid":"https://orcid.org/0000-0002-3683-9575","observed_orcids":["https://orcid.org/0000-0002-3683-9575"]},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Azeddine Elhassouny","raw_affiliation_strings":["Software Engineering Department, ENSIAS Mohammed V University, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Engineering Department, ENSIAS Mohammed V University, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":2.1973,"has_fulltext":false,"cited_by_count":190,"citation_normalized_percentile":{"value":0.93078967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.5806000232696533,"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":0.5806000232696533,"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/T10320","display_name":"Neural Networks and Applications","score":0.17910000681877136,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.08540000021457672,"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/deep-generative-models","display_name":"deep generative models","score":0.9950000047683716},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"restricted Boltzmann machine","score":0.8769999742507935},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"deep belief network","score":0.9020000100135803},{"id":"https://openalex.org/keywords/variational-autoencoder","display_name":"variational autoencoder","score":0.8579999804496765},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.9990000128746033},{"id":"https://openalex.org/keywords/draw","display_name":"draw","score":0.972000002861023},{"id":"https://openalex.org/keywords/natural-deep-eutectic-solvents","display_name":"natural deep eutectic solvents","score":0.6100000143051147}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8704643845558167},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7711364030838013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743327260017395},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6232492327690125},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5896430015563965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58920818567276},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5578975081443787},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48955783247947693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.335650235414505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06531581282615662},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isacv.2018.8354080","doi":"https://doi.org/10.1109/isacv.2018.8354080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isacv.2018.8354080","pdf_url":null,"source":{"id":"https://openalex.org/S7407086560","display_name":"International Conference on Intelligent Systems and Computer Vision (ISCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W35024350","https://openalex.org/W189596042","https://openalex.org/W1586173270","https://openalex.org/W1813659000","https://openalex.org/W1850742715","https://openalex.org/W1853900790","https://openalex.org/W1959608418","https://openalex.org/W1973445088","https://openalex.org/W1981268965","https://openalex.org/W1993845689","https://openalex.org/W2016136491","https://openalex.org/W2042492924","https://openalex.org/W2064675550","https://openalex.org/W2099471712","https://openalex.org/W2107878631","https://openalex.org/W2108501770","https://openalex.org/W2110798204","https://openalex.org/W2116825644","https://openalex.org/W2124914669","https://openalex.org/W2125113755","https://openalex.org/W2135194391","https://openalex.org/W2136922672","https://openalex.org/W2145094598","https://openalex.org/W2160815625","https://openalex.org/W2161914416","https://openalex.org/W2163605009","https://openalex.org/W2167017068","https://openalex.org/W2167072947","https://openalex.org/W2171490498","https://openalex.org/W2173520492","https://openalex.org/W2267126114","https://openalex.org/W2289330286","https://openalex.org/W2353278259","https://openalex.org/W2402302915","https://openalex.org/W2577946330","https://openalex.org/W2587284713","https://openalex.org/W2611715906","https://openalex.org/W2621386477","https://openalex.org/W2949416428","https://openalex.org/W2962741254","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4321787721","https://openalex.org/W1974618110","https://openalex.org/W7116714867","https://openalex.org/W3135287914","https://openalex.org/W7015419079","https://openalex.org/W3046095786","https://openalex.org/W2905027213","https://openalex.org/W4413637530","https://openalex.org/W4385521577","https://openalex.org/W4414930662"],"abstract_inverted_index":{"Generative":[0],"models":[1,49,116],"have":[2],"found":[3],"their":[4,79,86],"way":[5],"to":[6,103,126],"the":[7,12,21,38,82,96,146],"forefront":[8],"of":[9,37,43,66,95,131],"deep":[10,47,107],"learning":[11,83],"last":[13],"decade":[14],"and":[15,56,73,85,88,105,113],"so":[16],"far,":[17],"it":[18],"seems":[19],"that":[20,99],"hype":[22],"will":[23,59,76,91],"not":[24,124],"fade":[25],"away":[26],"any":[27],"time":[28],"soon.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"give":[34],"an":[35,143],"overview":[36],"most":[39,44],"important":[40],"building":[41],"blocks":[42],"recent":[45],"revolutionary":[46],"generative":[48,68,108],"such":[50],"as":[51],"RBM,":[52],"DBM,":[53],"DBN,":[54],"VAE":[55],"GAN.":[57],"We":[58,75,90],"also":[60,92],"take":[61],"a":[62,128,136],"look":[63],"at":[64],"three":[65],"state-of-the-art":[67],"models,":[69,133],"namely":[70],"PixelRNN,":[71],"DRAW":[72],"NADE.":[74],"delve":[77],"into":[78],"unique":[80],"architectures,":[81],"procedures":[84],"potential":[87],"limitations.":[89],"review":[93],"some":[94],"known":[97],"issues":[98],"arise":[100],"when":[101],"trying":[102],"design":[104],"train":[106],"architectures":[109],"using":[110],"shallow":[111],"ones":[112],"how":[114],"different":[115],"deal":[117],"with":[118],"these":[119,132],"issues.":[120],"This":[121],"paper":[122],"is":[123],"meant":[125],"be":[127],"comprehensive":[129],"study":[130],"but":[134],"rather":[135],"starting":[137],"point":[138],"for":[139],"those":[140],"who":[141],"bear":[142],"interest":[144],"in":[145],"field.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":56},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-05-17T00:00:00"}