{"id":"https://openalex.org/W4379409382","doi":"https://doi.org/10.1109/taffc.2023.3280671","title":"Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories","display_name":"Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4379409382","doi":"https://doi.org/10.1109/taffc.2023.3280671"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2023.3280671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3280671","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04100664/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066371761","display_name":"Naima Otberdout","orcid":"https://orcid.org/0000-0002-5694-0128"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naima Otberdout","raw_affiliation_strings":["AI Movement, International Artificial Intelligence Center of Morocco, Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"AI Movement, International Artificial Intelligence Center of Morocco, Rabat, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028907737","display_name":"Claudio Ferrari","orcid":"https://orcid.org/0000-0001-9465-6753"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Ferrari","raw_affiliation_strings":["Department of Architecture and Engineering, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Architecture and Engineering, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017977139","display_name":"Mohamed Daoudi","orcid":"https://orcid.org/0000-0003-4219-7860"},"institutions":[{"id":"https://openalex.org/I7454413","display_name":"\u00c9cole Centrale de Lille","ror":"https://ror.org/01x441g73","country_code":"FR","type":"education","lineage":["https://openalex.org/I7454413"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]},{"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":"Mohamed Daoudi","raw_affiliation_strings":["CNRS, Centrale Lille, Institut Mines-Télécom, UMR 9189 CRIStAL, IMT Nord Europe, Institut Mines-Télécom, Centre for Digital Systems, University of Lille, Lille, France"],"affiliations":[{"raw_affiliation_string":"CNRS, Centrale Lille, Institut Mines-Télécom, UMR 9189 CRIStAL, IMT Nord Europe, Institut Mines-Télécom, Centre for Digital Systems, University of Lille, Lille, France","institution_ids":["https://openalex.org/I2279609970","https://openalex.org/I205703379","https://openalex.org/I7454413","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013110565","display_name":"Stefano Berretti","orcid":"https://orcid.org/0000-0003-1219-4386"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Berretti","raw_affiliation_strings":["Media Integration and Communication Center (MICC), University of of Florence, Firenze, Italy"],"affiliations":[{"raw_affiliation_string":"Media Integration and Communication Center (MICC), University of of Florence, Firenze, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081506611","display_name":"Alberto Del Bimbo","orcid":"https://orcid.org/0000-0002-1052-8322"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Del Bimbo","raw_affiliation_strings":["Media Integration and Communication Center (MICC), University of of Florence, Firenze, Italy"],"affiliations":[{"raw_affiliation_string":"Media Integration and Communication Center (MICC), University of of Florence, Firenze, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066371761"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0904,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79264083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"2","first_page":"566","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9939000010490417,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9929999709129333,"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/landmark","display_name":"Landmark","score":0.8681049942970276},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6790026426315308},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6779893040657043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6423603892326355},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6340770125389099},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.617412805557251},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5513689517974854},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5397911667823792},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5096924304962158},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.484367698431015},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4831673502922058},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.46389272809028625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46132248640060425},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.45200106501579285},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4232836663722992},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.410258948802948},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37719491124153137},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36402302980422974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22989177703857422},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09582284092903137},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.09479403495788574}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8681049942970276},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6790026426315308},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6779893040657043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6423603892326355},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6340770125389099},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.617412805557251},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5513689517974854},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5397911667823792},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5096924304962158},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.484367698431015},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4831673502922058},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.46389272809028625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46132248640060425},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.45200106501579285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4232836663722992},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.410258948802948},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37719491124153137},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36402302980422974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22989177703857422},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09582284092903137},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.09479403495788574},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/taffc.2023.3280671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3280671","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04100664v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04100664","pdf_url":"https://hal.science/hal-04100664/document","source":{"id":"https://openalex.org/S4406922466","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Affective Computing, 2024, 15 (2), pp.566 - 578. ⟨10.1109/TAFFC.2023.3280671⟩","raw_type":"Journal articles"},{"id":"pmh:oai:flore.unifi.it:2158/1345033","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/abstract/document/10143732","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04100664v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04100664","pdf_url":"https://hal.science/hal-04100664/document","source":{"id":"https://openalex.org/S4406922466","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Affective Computing, 2024, 15 (2), pp.566 - 578. ⟨10.1109/TAFFC.2023.3280671⟩","raw_type":"Journal articles"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1322071649","display_name":null,"funder_award_id":"951911","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4859330304","display_name":null,"funder_award_id":"ANR-16-IDEX-0004 ULNE","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6942815888","display_name":null,"funder_award_id":"16-IDEX-0004","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7225929873","display_name":null,"funder_award_id":"ANR-16-IDEX-0004","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320316137","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379409382.pdf","grobid_xml":"https://content.openalex.org/works/W4379409382.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W269201774","https://openalex.org/W1807911131","https://openalex.org/W1981660604","https://openalex.org/W2018727909","https://openalex.org/W2080277992","https://openalex.org/W2086331119","https://openalex.org/W2087007396","https://openalex.org/W2107037917","https://openalex.org/W2134389879","https://openalex.org/W2149645715","https://openalex.org/W2163131540","https://openalex.org/W2165168736","https://openalex.org/W2174282328","https://openalex.org/W2237250383","https://openalex.org/W2265959009","https://openalex.org/W2310705318","https://openalex.org/W2431101926","https://openalex.org/W2558748708","https://openalex.org/W2606980007","https://openalex.org/W2617323512","https://openalex.org/W2739192055","https://openalex.org/W2769666294","https://openalex.org/W2791092480","https://openalex.org/W2799465876","https://openalex.org/W2883221003","https://openalex.org/W2891571047","https://openalex.org/W2911482907","https://openalex.org/W2912459656","https://openalex.org/W2951295144","https://openalex.org/W2962692288","https://openalex.org/W2963118476","https://openalex.org/W2963197375","https://openalex.org/W2963408477","https://openalex.org/W2964045355","https://openalex.org/W2964171387","https://openalex.org/W2964176417","https://openalex.org/W2981263323","https://openalex.org/W3008956107","https://openalex.org/W3014206170","https://openalex.org/W3020995211","https://openalex.org/W3093450153","https://openalex.org/W3094814395","https://openalex.org/W3101531717","https://openalex.org/W3109427664","https://openalex.org/W3118321860","https://openalex.org/W3186700381","https://openalex.org/W4213359124","https://openalex.org/W4220774645","https://openalex.org/W4281730245","https://openalex.org/W4307929907","https://openalex.org/W4311598217","https://openalex.org/W6735913928","https://openalex.org/W6767790785"],"related_works":["https://openalex.org/W2016546218","https://openalex.org/W2352223314","https://openalex.org/W166366606","https://openalex.org/W2509104183","https://openalex.org/W2509618504","https://openalex.org/W2156243485","https://openalex.org/W2098911910","https://openalex.org/W2148343984","https://openalex.org/W586143910","https://openalex.org/W99616944"],"abstract_inverted_index":{"In":[0,35],"this":[1,129],"work,":[2],"we":[3,112],"address":[4],"the":[5,32,36,77,97,103,124,135,138,156,175,181],"problem":[6],"of":[7,80,100,105,108,126,144,164],"4D":[8,69],"facial":[9],"expressions":[10,101],"generation.":[11],"This":[12,71],"is":[13,146,177],"usually":[14],"addressed":[15],"by":[16,116,148],"animating":[17],"a":[18,55,90,106,118,149,160,165],"neutral":[19,33],"3D":[20,109],"face":[21],"to":[22,31,50,95,114,159,199,206],"reach":[23],"an":[24],"expression":[25,49],"peak,":[26],"and":[27,45,64,67,87,137],"then":[28],"get":[29],"back":[30],"state.":[34],"real":[37],"world":[38],"though,":[39],"people":[40],"show":[41,189],"more":[42],"complex":[43],"expressions,":[44,63,81,128],"switch":[46],"from":[47,180],"one":[48],"another.":[51],"We":[52,93],"thus":[53],"propose":[54,94],"new":[56],"model":[57,130,176],"that":[58,111,154,190],"generates":[59],"transitions":[60,84],"between":[61,85],"different":[62],"synthesizes":[65],"long":[66],"composed":[68,127],"expressions.":[70,140],"involves":[72],"three":[73],"sub-problems:":[74],"(i)":[75],"modeling":[76],"temporal":[78,98],"dynamics":[79],"(ii)":[82],"learning":[83],"them,":[86],"(iii)":[88],"deforming":[89],"generic":[91],"mesh.":[92],"encode":[96],"evolution":[99],"using":[102],"motion":[104,173],"set":[107],"landmarks,":[110],"learn":[113],"generate":[115],"training":[117],"manifold-valued":[119],"GAN":[120],"(Motion3DGAN).":[121],"To":[122],"allow":[123],"generation":[125],"accepts":[131],"two":[132],"labels":[133],"encoding":[134],"starting":[136],"ending":[139],"The":[141],"final":[142],"sequence":[143],"meshes":[145],"generated":[147],"Sparse2Dense":[150],"mesh":[151,167],"Decoder":[152],"(S2D-Dec)":[153],"maps":[155],"landmark":[157],"displacements":[158],"dense,":[161],"per-vertex":[162],"displacement":[163],"known":[166],"topology.":[168],"By":[169],"explicitly":[170],"working":[171],"with":[172,197],"trajectories,":[174],"totally":[178],"independent":[179],"identity.":[182],"Extensive":[183],"experiments":[184],"on":[185],"five":[186],"public":[187],"datasets":[188],"our":[191],"proposed":[192],"approach":[193],"brings":[194],"significant":[195],"improvements":[196],"respect":[198],"previous":[200],"solutions,":[201],"while":[202],"retaining":[203],"good":[204],"generalization":[205],"unseen":[207],"data.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}