{"id":"https://openalex.org/W2963408477","doi":"https://doi.org/10.1609/aaai.v33i01.33013510","title":"Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation","display_name":"Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963408477","doi":"https://doi.org/10.1609/aaai.v33i01.33013510","mag":"2963408477"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33013510","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013510","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4229/4107","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4229/4107","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102354778","display_name":"Lijie Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijie Fan","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032642601","display_name":"Wenbing Huang","orcid":"https://orcid.org/0000-0002-2566-4159"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbing Huang","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040877128","display_name":"Chuang Gan","orcid":"https://orcid.org/0000-0003-4031-5886"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuang Gan","raw_affiliation_strings":["Massachusetts Institute of Technology-Watson AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology-Watson AI Lab","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068865316","display_name":"Junzhou Huang","orcid":"https://orcid.org/0000-0002-9548-1227"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junzhou Huang","raw_affiliation_strings":["University of Texas at Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017319429","display_name":"Boqing Gong","orcid":"https://orcid.org/0000-0003-3915-5977"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boqing Gong","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6923,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92125436,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"3510","last_page":"3517"},"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":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9796000123023987,"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":0.9732999801635742,"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":0.8350163698196411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6947848200798035},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6112419366836548},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5764164924621582},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5722426176071167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5633596181869507},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5266155004501343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5228155851364136},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.49273398518562317},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4851003885269165},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4755675196647644},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4581756293773651},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.43048542737960815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8350163698196411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947848200798035},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6112419366836548},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5764164924621582},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5722426176071167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5633596181869507},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5266155004501343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5228155851364136},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.49273398518562317},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4851003885269165},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4755675196647644},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4581756293773651},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.43048542737960815},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33013510","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013510","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4229/4107","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4229","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33013510","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013510","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4229/4107","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963408477.pdf","grobid_xml":"https://content.openalex.org/works/W2963408477.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2103943262","https://openalex.org/W2115252128","https://openalex.org/W2116435618","https://openalex.org/W2118688707","https://openalex.org/W2135341757","https://openalex.org/W2275363859","https://openalex.org/W2400532028","https://openalex.org/W2412782625","https://openalex.org/W2470475590","https://openalex.org/W2579578355","https://openalex.org/W2586480386","https://openalex.org/W2618574778","https://openalex.org/W2738136547","https://openalex.org/W2799055999","https://openalex.org/W2883861033","https://openalex.org/W2949099979","https://openalex.org/W2951751411","https://openalex.org/W2952499146","https://openalex.org/W2962793481","https://openalex.org/W2962947361","https://openalex.org/W2963092440","https://openalex.org/W2963402657","https://openalex.org/W2963547393","https://openalex.org/W4294037149","https://openalex.org/W4294306266","https://openalex.org/W4294554810","https://openalex.org/W4294643831","https://openalex.org/W4297772798","https://openalex.org/W4300912893","https://openalex.org/W4308909683","https://openalex.org/W4320013936","https://openalex.org/W6601051388","https://openalex.org/W6638286568","https://openalex.org/W6677618333","https://openalex.org/W6726983635","https://openalex.org/W6733403059","https://openalex.org/W6734074887","https://openalex.org/W6741626982"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W3109545856","https://openalex.org/W4288069866","https://openalex.org/W4389232935","https://openalex.org/W3155045749","https://openalex.org/W2936127876","https://openalex.org/W3192242026","https://openalex.org/W4387421677","https://openalex.org/W4213477128","https://openalex.org/W2806541789"],"abstract_inverted_index":{"The":[0,112],"recent":[1],"advances":[2],"in":[3,44,178],"deep":[4,65],"learning":[5],"have":[6],"made":[7],"it":[8],"possible":[9],"to":[10,20,73,100,147,170],"generate":[11,101,193],"photo-realistic":[12],"images":[13,177],"by":[14,68,121,206],"using":[15],"neural":[16,66,130,154],"networks":[17,67],"and":[18,40,52,114,143,157,185],"even":[19,173],"extrapolate":[21],"video":[22,27,85,102],"frames":[23],"from":[24,107,182],"an":[25],"input":[26,80,138],"clip.":[28],"In":[29],"this":[30,38,124],"paper,":[31],"for":[32,152,174],"the":[33,56,64,74,117,136,148,153,161,175,179,183,186],"sake":[34],"of":[35,58,104,116,163,198],"both":[36],"furthering":[37],"exploration":[39],"our":[41,164,190],"own":[42,188],"interest":[43],"a":[45,95,108,128],"realistic":[46],"application,":[47],"we":[48,126,167],"study":[49],"imageto-video":[50],"translation":[51],"particularly":[53],"focus":[54],"on":[55,90],"videos":[57,197],"facial":[59,195],"expressions.":[60],"This":[61],"problem":[62],"challenges":[63],"another":[69],"temporal":[70],"dimension":[71],"comparing":[72],"image-to-image":[75],"translation.":[76],"Moreover,":[77],"its":[78,140],"single":[79,109],"image":[81],"fails":[82],"most":[83],"existing":[84],"generation":[86],"methods":[87],"that":[88,133,172],"rely":[89],"recurrent":[91],"models.":[92],"We":[93],"propose":[94,144],"user-controllable":[96],"approach":[97],"so":[98],"as":[99,204],"clips":[103],"various":[105],"lengths":[106,113],"face":[110,176],"image.":[111],"types":[115],"expressions":[118],"are":[119,202],"controlled":[120],"users.":[122],"To":[123],"end,":[125],"design":[127],"novel":[129],"network":[131],"architecture":[132],"can":[134,192],"incorporate":[135],"user":[137,158],"into":[139],"skip":[141],"connections":[142],"several":[145],"improvements":[146],"adversarial":[149],"training":[150],"method":[151],"network.":[155],"Experiments":[156],"studies":[159],"verify":[160],"effectiveness":[162],"approach.":[165],"Especially,":[166],"would":[168],"like":[169],"highlight":[171],"wild":[180],"(downloaded":[181],"Web":[184],"authors\u2019":[187],"photos),":[189],"model":[191],"high-quality":[194],"expression":[196],"which":[199],"about":[200],"50%":[201],"labeled":[203],"real":[205],"Amazon":[207],"Mechanical":[208],"Turk":[209],"workers.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
