{"id":"https://openalex.org/W3019952993","doi":"https://doi.org/10.1145/3414685.3417774","title":"MakeltTalk","display_name":"MakeltTalk","publication_year":2020,"publication_date":"2020-11-27","ids":{"openalex":"https://openalex.org/W3019952993","doi":"https://doi.org/10.1145/3414685.3417774","mag":"3019952993"},"language":"en","primary_location":{"id":"doi:10.1145/3414685.3417774","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3414685.3417774","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3414685.3417774","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3414685.3417774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043060799","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0002-5070-6330"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["University of Massachusetts Amherst"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046330465","display_name":"Xintong Han","orcid":"https://orcid.org/0000-0001-7369-0506"},"institutions":[{"id":"https://openalex.org/I68926175","display_name":"Hoya (Japan)","ror":"https://ror.org/049vpfq31","country_code":"JP","type":"company","lineage":["https://openalex.org/I68926175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xintong Han","raw_affiliation_strings":["Huya Inc"],"affiliations":[{"raw_affiliation_string":"Huya Inc","institution_ids":["https://openalex.org/I68926175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024777042","display_name":"Eli Shechtman","orcid":"https://orcid.org/0000-0002-6783-1795"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Eli Shechtman","raw_affiliation_strings":["Adobe Research"],"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077188936","display_name":"Jose Echevarria","orcid":"https://orcid.org/0000-0001-6802-0911"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Jose Echevarria","raw_affiliation_strings":["Adobe Research"],"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003312344","display_name":"Evangelos Kalogerakis","orcid":"https://orcid.org/0000-0002-5867-5735"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelos Kalogerakis","raw_affiliation_strings":["University of Massachusetts Amherst"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038972102","display_name":"Dingzeyu Li","orcid":"https://orcid.org/0000-0002-4222-8105"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Dingzeyu Li","raw_affiliation_strings":["Adobe Research"],"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043060799"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":15.1139,"has_fulltext":true,"cited_by_count":302,"citation_normalized_percentile":{"value":0.99316942,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"39","issue":"6","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9962999820709229,"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":0.7989131808280945},{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.663480281829834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241147518157959},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5576401948928833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5071711540222168},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5016024112701416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4665496051311493},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.46524322032928467},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.4587133526802063},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.43094584345817566},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4255257248878479},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11337777972221375},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09004145860671997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989131808280945},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.663480281829834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241147518157959},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5576401948928833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5071711540222168},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5016024112701416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4665496051311493},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.46524322032928467},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.4587133526802063},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.43094584345817566},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4255257248878479},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11337777972221375},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09004145860671997},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3414685.3417774","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3414685.3417774","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3414685.3417774","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2004.12992","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.12992","pdf_url":"https://arxiv.org/pdf/2004.12992","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3414685.3417774","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3414685.3417774","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3414685.3417774","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4049666403","display_name":null,"funder_award_id":"EAGER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6607065040","display_name":null,"funder_award_id":"EAGER-1942069","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6757232370","display_name":"EAGER: Deep Architectures for Ppredicting 3D Object Motion","funder_award_id":"1942069","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3019952993.pdf","grobid_xml":"https://content.openalex.org/works/W3019952993.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1509796108","https://openalex.org/W1588539311","https://openalex.org/W1643481929","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1979928541","https://openalex.org/W2010318909","https://openalex.org/W2015394094","https://openalex.org/W2063634999","https://openalex.org/W2100649345","https://openalex.org/W2101868198","https://openalex.org/W2102113734","https://openalex.org/W2146991130","https://openalex.org/W2147025387","https://openalex.org/W2156605878","https://openalex.org/W2187089797","https://openalex.org/W2295661697","https://openalex.org/W2301937176","https://openalex.org/W2331128040","https://openalex.org/W2468212864","https://openalex.org/W2486034530","https://openalex.org/W2527729766","https://openalex.org/W2593414223","https://openalex.org/W2626778328","https://openalex.org/W2737658251","https://openalex.org/W2738406145","https://openalex.org/W2739140129","https://openalex.org/W2739192055","https://openalex.org/W2770534877","https://openalex.org/W2795230330","https://openalex.org/W2797046819","https://openalex.org/W2804619907","https://openalex.org/W2808631503","https://openalex.org/W2883861033","https://openalex.org/W2889214350","https://openalex.org/W2895226286","https://openalex.org/W2896457183","https://openalex.org/W2944294033","https://openalex.org/W2945478979","https://openalex.org/W2949662773","https://openalex.org/W2949770993","https://openalex.org/W2950248412","https://openalex.org/W2951270715","https://openalex.org/W2953335716","https://openalex.org/W2961310105","https://openalex.org/W2962788625","https://openalex.org/W2962795401","https://openalex.org/W2962963674","https://openalex.org/W2963009026","https://openalex.org/W2963073614","https://openalex.org/W2963081548","https://openalex.org/W2963290645","https://openalex.org/W2963335855","https://openalex.org/W2964559396","https://openalex.org/W2970315999","https://openalex.org/W2979894294","https://openalex.org/W2980581183","https://openalex.org/W2981263323","https://openalex.org/W2986945954","https://openalex.org/W2990452356","https://openalex.org/W2995034616","https://openalex.org/W3008823916","https://openalex.org/W3017343282","https://openalex.org/W3034522851","https://openalex.org/W3097792222","https://openalex.org/W3104792420","https://openalex.org/W3108240585","https://openalex.org/W3112809496","https://openalex.org/W4249866455","https://openalex.org/W4285719527","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2529311304","https://openalex.org/W4248275646","https://openalex.org/W2992609826","https://openalex.org/W3124809058","https://openalex.org/W2552900035","https://openalex.org/W2162875951","https://openalex.org/W2062875858","https://openalex.org/W4380047323","https://openalex.org/W2138330538","https://openalex.org/W2046581487"],"abstract_inverted_index":{"We":[0,143],"present":[1,144],"a":[2,10,111],"method":[3,39,87,104,130],"that":[4,137],"generates":[5],"expressive":[6],"talking-head":[7,80],"videos":[8],"from":[9,29],"single":[11,112],"facial":[12,63,73,92],"image":[13],"with":[14,106],"audio":[15,30,50,53],"as":[16],"the":[17,42,48,57,66,70,76,79,89,95],"only":[18],"input.":[19],"In":[20,127],"contrast":[21],"to":[22,25,31,155,166],"previous":[23],"attempts":[24],"learn":[26],"direct":[27],"mappings":[28],"raw":[32],"pixels":[33],"for":[34,133],"creating":[35],"talking":[36],"faces,":[37],"our":[38,86,103,129,151],"first":[40],"disentangles":[41],"content":[43,54],"and":[44,61,75,124,135,147],"speaker":[45,67],"information":[46,68],"in":[47,110,153],"input":[49],"signal.":[51],"The":[52],"robustly":[55],"controls":[56],"motion":[58],"of":[59,72,78,85,91,150,161],"lips":[60],"nearby":[62],"regions,":[64],"while":[65],"determines":[69],"specifics":[71],"expressions":[74],"rest":[77],"dynamics.":[81,97],"Another":[82],"key":[83],"component":[84],"is":[88],"prediction":[90],"landmarks":[93],"reflecting":[94],"speaker-aware":[96],"Based":[98],"on":[99],"this":[100],"intermediate":[101],"representation,":[102],"works":[105],"many":[107],"portrait":[108],"images":[109],"unified":[113],"framework,":[114],"including":[115],"artistic":[116],"paintings,":[117],"sketches,":[118],"2D":[119],"cartoon":[120],"characters,":[121],"Japanese":[122],"mangas,":[123],"stylized":[125],"caricatures.":[126],"addition,":[128],"generalizes":[131],"well":[132],"faces":[134],"characters":[136],"were":[138],"not":[139],"observed":[140],"during":[141],"training.":[142],"extensive":[145],"quantitative":[146],"qualitative":[148],"evaluation":[149],"method,":[152],"addition":[154],"user":[156],"studies,":[157],"demonstrating":[158],"generated":[159],"talking-heads":[160],"significantly":[162],"higher":[163],"quality":[164],"compared":[165],"prior":[167],"state-of-the-art":[168],"methods.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":60},{"year":2024,"cited_by_count":82},{"year":2023,"cited_by_count":82},{"year":2022,"cited_by_count":33},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2020-05-01T00:00:00"}
