{"id":"https://openalex.org/W2947613882","doi":"https://doi.org/10.2312/egs.20191002","title":"Stylistic Locomotion Modeling with Conditional Variational Autoencoder","display_name":"Stylistic Locomotion Modeling with Conditional Variational Autoencoder","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947613882","doi":"https://doi.org/10.2312/egs.20191002","mag":"2947613882"},"language":"en","primary_location":{"id":"doi:10.2312/egs.20191002","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egs.20191002","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/egs.20191002","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066934151","display_name":"Han Du","orcid":"https://orcid.org/0000-0003-2248-3990"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Du, Han","raw_affiliation_strings":["German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102982817","display_name":"Erik Herrmann","orcid":"https://orcid.org/0000-0003-1052-9883"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Herrmann, Erik","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072014783","display_name":"Janis Sprenger","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sprenger, Janis","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065633044","display_name":"Noshaba Cheema","orcid":"https://orcid.org/0000-0003-1275-4080"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cheema, Noshaba","raw_affiliation_strings":["German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102987749","display_name":"Somayeh Hosseini","orcid":"https://orcid.org/0000-0003-1313-000X"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hosseini, Somayeh","raw_affiliation_strings":["German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109909335","display_name":"Klaus Fischer","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fischer, Klaus","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026514026","display_name":"Philipp Slusallek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Slusallek, Philipp","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5066934151"],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":1.2715,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.77969086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.897599995136261,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.897599995136261,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.838100016117096,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.8353999853134155,"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/autoencoder","display_name":"Autoencoder","score":0.9022254347801208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5668900012969971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5028969645500183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3235679268836975},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17000964283943176}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9022254347801208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5668900012969971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5028969645500183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3235679268836975},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17000964283943176}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/egs.20191002","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egs.20191002","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2947613882","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/eurographics/eg-short2019.html#DuHSCHFS19","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Eurographics","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/egs.20191002","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egs.20191002","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2469134594","https://openalex.org/W2611706523","https://openalex.org/W2802441648","https://openalex.org/W2296629652","https://openalex.org/W2982219281","https://openalex.org/W2161296837","https://openalex.org/W3149842322","https://openalex.org/W2348818095","https://openalex.org/W2145631445","https://openalex.org/W3136127717","https://openalex.org/W1986720487","https://openalex.org/W2128003332","https://openalex.org/W2107967525","https://openalex.org/W1990750783","https://openalex.org/W2554228903","https://openalex.org/W3212962422","https://openalex.org/W2140676816","https://openalex.org/W2125298102","https://openalex.org/W2152014683","https://openalex.org/W1964034875"],"abstract_inverted_index":{"We":[0,72,96,137],"propose":[1,73],"a":[2,29,34,51,65,74,83,91,104,151,158,163],"novel":[3],"approach":[4,15,141],"to":[5,62,77,126,154],"create":[6,63],"generative":[7,35,75],"models":[8],"for":[9,37,69],"distinctive":[10],"stylistic":[11,99,131],"locomotion":[12],"synthesis.":[13],"The":[14],"is":[16,111,124],"inspired":[17],"by":[18],"the":[19,79,98,115,128,155],"observation":[20],"that":[21,139],"human":[22,39,148],"styles":[23],"can":[24,142],"be":[25],"easily":[26],"distinguished":[27],"from":[28,90],"few":[30,159],"examples.":[31,95],"However,":[32],"learning":[33,107,117],"model":[36,76,116],"natural":[38],"motions":[40,149],"which":[41],"display":[42],"huge":[43],"amounts":[44],"of":[45,53,94,146],"variations":[46],"and":[47,87,130,162],"randomness":[48],"would":[49,58],"require":[50,59],"lot":[52],"training":[54],"data.":[55],"Furthermore,":[56],"it":[57],"considerable":[60],"efforts":[61],"such":[64],"large":[66,80],"motion":[67,85,100,165],"database":[68,86],"each":[70],"style.":[71],"combine":[78],"variation":[81],"in":[82],"neutral":[84,164],"style":[88,153,160],"information":[89],"limited":[92],"number":[93,145],"formulate":[97],"modeling":[101],"task":[102],"as":[103,135],"conditional":[105,120],"distribution":[106,129],"problem.":[108],"Style":[109],"transfer":[110],"implicitly":[112],"applied":[113,125],"during":[114],"process.":[118],"A":[119],"variational":[121],"autoencoder":[122],"(CVAE)":[123],"learn":[127],"examples":[132,161],"are":[133],"used":[134],"constraints.":[136],"demonstrate":[138],"our":[140],"generate":[143],"any":[144],"natural-looking":[147],"with":[150],"similar":[152],"target":[156],"given":[157],"database.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
