{"id":"https://openalex.org/W2990375436","doi":"https://doi.org/10.1109/wacv45572.2020.9093492","title":"ImaGINator: Conditional Spatio-Temporal GAN for Video Generation","display_name":"ImaGINator: Conditional Spatio-Temporal GAN for Video Generation","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W2990375436","doi":"https://doi.org/10.1109/wacv45572.2020.9093492","mag":"2990375436"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02368319","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100672233","display_name":"Yaohui Wang","orcid":"https://orcid.org/0009-0002-6262-7450"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210126779","display_name":"Observatoire de la C\u00f4te d\u2019Azur","ror":"https://ror.org/039fj2469","country_code":"FR","type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4210126779"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Yaohui Wang","raw_affiliation_strings":["Inria","Universit\u00e9 C\u00f4te d'Azur","Spatio-Temporal Activity Recognition Systems"],"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur","institution_ids":["https://openalex.org/I4210126779","https://openalex.org/I201841394"]},{"raw_affiliation_string":"Spatio-Temporal Activity Recognition Systems","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060480943","display_name":"Piotr Bili\u0144ski","orcid":"https://orcid.org/0000-0002-7023-3438"},"institutions":[{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Bilinski","raw_affiliation_strings":["University of Warsaw"],"affiliations":[{"raw_affiliation_string":"University of Warsaw","institution_ids":["https://openalex.org/I4654613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037298642","display_name":"Fran\u00e7ois Br\u00e9mond","orcid":"https://orcid.org/0000-0003-2988-2142"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210126779","display_name":"Observatoire de la C\u00f4te d\u2019Azur","ror":"https://ror.org/039fj2469","country_code":"FR","type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4210126779"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Bremond","raw_affiliation_strings":["Inria","Spatio-Temporal Activity Recognition Systems","Universit\u00e9 C\u00f4te d'Azur"],"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Spatio-Temporal Activity Recognition Systems","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur","institution_ids":["https://openalex.org/I4210126779","https://openalex.org/I201841394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084047603","display_name":"Antitza Dantcheva","orcid":"https://orcid.org/0000-0003-0107-7029"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210126779","display_name":"Observatoire de la C\u00f4te d\u2019Azur","ror":"https://ror.org/039fj2469","country_code":"FR","type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4210126779"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antitza Dantcheva","raw_affiliation_strings":["Inria","Spatio-Temporal Activity Recognition Systems","Universit\u00e9 C\u00f4te d'Azur"],"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Spatio-Temporal Activity Recognition Systems","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur","institution_ids":["https://openalex.org/I4210126779","https://openalex.org/I201841394"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100672233"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210126779"],"apc_list":null,"apc_paid":null,"fwci":5.6905,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.96942717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1149","last_page":"1158"},"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":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.8149694204330444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6743451952934265},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5605871677398682},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5585499405860901},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5473586916923523},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5325640439987183},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.531583845615387},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5170155763626099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5124610066413879},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4590429663658142},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4583441913127899},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44334080815315247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42068302631378174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1520184576511383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8149694204330444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6743451952934265},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5605871677398682},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5585499405860901},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5473586916923523},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5325640439987183},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.531583845615387},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5170155763626099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5124610066413879},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4590429663658142},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4583441913127899},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44334080815315247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42068302631378174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1520184576511383},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02368319v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02368319","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WACV 2020 - Winter Conference on Applications of Computer Vision, Mar 2020, Snowmass Village, United States","raw_type":"Conference papers"},{"id":"pmh:oai:HAL:hal-02969838v1","is_oa":true,"landing_page_url":"https://hal.inria.fr/hal-02969838","pdf_url":null,"source":{"id":"https://openalex.org/S4406922276","display_name":"INRIA a CCSD electronic archive server","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WACV 2020 - Winter Conference on Applications of Computer Vision","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02368319v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02368319","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WACV 2020 - Winter Conference on Applications of Computer Vision, Mar 2020, Snowmass Village, United States","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6499999761581421,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1537098388","https://openalex.org/W1596560700","https://openalex.org/W1903029394","https://openalex.org/W1913860614","https://openalex.org/W1959608418","https://openalex.org/W1981167598","https://openalex.org/W2016776918","https://openalex.org/W2056120433","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2130942839","https://openalex.org/W2146634731","https://openalex.org/W2147615062","https://openalex.org/W2173520492","https://openalex.org/W2185953016","https://openalex.org/W2470142083","https://openalex.org/W2513140567","https://openalex.org/W2520707650","https://openalex.org/W2548275288","https://openalex.org/W2601686579","https://openalex.org/W2615413256","https://openalex.org/W2619034550","https://openalex.org/W2625219738","https://openalex.org/W2744091666","https://openalex.org/W2785678896","https://openalex.org/W2787579267","https://openalex.org/W2804423643","https://openalex.org/W2808493349","https://openalex.org/W2883127586","https://openalex.org/W2883938080","https://openalex.org/W2883991972","https://openalex.org/W2893749619","https://openalex.org/W2894961607","https://openalex.org/W2897116710","https://openalex.org/W2897699942","https://openalex.org/W2949099979","https://openalex.org/W2950776302","https://openalex.org/W2952595815","https://openalex.org/W2952716587","https://openalex.org/W2956531365","https://openalex.org/W2962754210","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962934715","https://openalex.org/W2963045453","https://openalex.org/W2963073614","https://openalex.org/W2963092440","https://openalex.org/W2963125871","https://openalex.org/W2963155035","https://openalex.org/W2963402657","https://openalex.org/W2963547393","https://openalex.org/W2963669520","https://openalex.org/W2963684088","https://openalex.org/W2963767194","https://openalex.org/W2963836885","https://openalex.org/W2963841322","https://openalex.org/W2964121744","https://openalex.org/W2964262118","https://openalex.org/W2964270168","https://openalex.org/W2964303162","https://openalex.org/W2964327849","https://openalex.org/W4297772798","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6640067882","https://openalex.org/W6640963894","https://openalex.org/W6678815747","https://openalex.org/W6679436768","https://openalex.org/W6685352114","https://openalex.org/W6691096134","https://openalex.org/W6712884540","https://openalex.org/W6720244596","https://openalex.org/W6725923168","https://openalex.org/W6726983635","https://openalex.org/W6729482032","https://openalex.org/W6738465933","https://openalex.org/W6738467200","https://openalex.org/W6748392304","https://openalex.org/W6748582592","https://openalex.org/W6748655329","https://openalex.org/W6751495871","https://openalex.org/W6752643364","https://openalex.org/W6753532407","https://openalex.org/W6753914649","https://openalex.org/W6755231425","https://openalex.org/W6755312952"],"related_works":["https://openalex.org/W4386083130","https://openalex.org/W2023355163","https://openalex.org/W2117442182","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W2081707527","https://openalex.org/W2564375980","https://openalex.org/W4286646204","https://openalex.org/W2030154815","https://openalex.org/W2051121715"],"abstract_inverted_index":{"Generating":[0],"human":[1],"videos":[2],"based":[3],"on":[4,136,147],"single":[5,35,91],"images":[6],"entails":[7],"the":[8,81,90,97,110,137,148,167],"challenging":[9],"simultaneous":[10],"generation":[11],"of":[12,40,96],"realistic":[13,61],"and":[14,18,46,50,55,119,129,142,152,163,172],"visual":[15],"appealing":[16],"appearance":[17,49,79,87],"motion.":[19],"In":[20,99],"this":[21],"context,":[22],"we":[23,101],"propose":[24,102],"a":[25,34,37,41,68,104],"novel":[26,69,105],"conditional":[27],"GAN":[28],"architecture,":[29],"namely":[30],"ImaGINator,":[31],"which":[32,73,122],"given":[33],"image,":[36],"condition":[38],"(label":[39],"facial":[42,138],"expression":[43,139],"or":[44],"action)":[45],"noise,":[47],"decomposes":[48],"motion":[51],"in":[52,126],"both":[53],"latent":[54],"high":[56],"level":[57],"feature":[58],"spaces,":[59],"generating":[60],"videos.":[62],"This":[63],"is":[64],"achieved":[65],"by":[66,85],"(i)":[67],"spatio-temporal":[70],"fusion":[71],"scheme,":[72],"generates":[74],"dynamic":[75],"motion,":[76],"while":[77],"retaining":[78],"throughout":[80],"full":[82],"video":[83,127],"sequence":[84],"transmitting":[86],"(originating":[88],"from":[89],"image)":[92],"through":[93],"all":[94],"layers":[95],"network.":[98],"addition,":[100],"(ii)":[103],"transposed":[106,111,117],"(1+2)D":[107],"convolution,":[108],"factorizing":[109],"3D":[112],"convolutional":[113],"filters":[114],"into":[115],"separate":[116],"temporal":[118],"spatial":[120],"components,":[121],"yields":[123],"significantly":[124,160],"gains":[125],"quality":[128],"speed.":[130],"We":[131,154],"extensively":[132],"evaluate":[133],"our":[134,157],"approach":[135,158],"datasets":[140,150],"MUG":[141],"UvA-NEMO,":[143],"as":[144,146],"well":[145],"action":[149],"NATOPS":[151],"Weizmann.":[153],"show":[155],"that":[156],"achieves":[159],"better":[161],"quantitative":[162],"qualitative":[164],"results":[165],"than":[166],"state-of-the-art.":[168],"The":[169],"source":[170],"code":[171],"models":[173],"are":[174],"available":[175],"under":[176],"https://github.com/wyhsirius/ImaGINator.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}