{"id":"https://openalex.org/W3202230984","doi":"https://doi.org/10.1145/3458380.3458428","title":"Human Motion Generation using Wasserstein GAN","display_name":"Human Motion Generation using Wasserstein GAN","publication_year":2021,"publication_date":"2021-02-26","ids":{"openalex":"https://openalex.org/W3202230984","doi":"https://doi.org/10.1145/3458380.3458428","mag":"3202230984"},"language":"en","primary_location":{"id":"doi:10.1145/3458380.3458428","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458380.3458428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019651995","display_name":"Ayumi Shiobara","orcid":null},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ayumi Shiobara","raw_affiliation_strings":["Toyo University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyo University, Japan","institution_ids":["https://openalex.org/I158123994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015985558","display_name":"Makoto Murakami","orcid":"https://orcid.org/0000-0002-4831-9972"},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Murakami","raw_affiliation_strings":["Toyo University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyo University, Japan","institution_ids":["https://openalex.org/I158123994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158123994"],"apc_list":null,"apc_paid":null,"fwci":0.9,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67367971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":1.0,"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":0.9998000264167786,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672427892684937},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6711277961730957},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6654462218284607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6497747898101807},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.597321629524231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5782067775726318},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5696216821670532},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5404691100120544},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5094662308692932},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4966784119606018},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43191224336624146},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.21621203422546387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672427892684937},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6711277961730957},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6654462218284607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6497747898101807},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.597321629524231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5782067775726318},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5696216821670532},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5404691100120544},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5094662308692932},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4966784119606018},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43191224336624146},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.21621203422546387},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3458380.3458428","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458380.3458428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2121113403","https://openalex.org/W2296629652","https://openalex.org/W2469134594","https://openalex.org/W2962879692","https://openalex.org/W4214553437"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966","https://openalex.org/W2969399009"],"abstract_inverted_index":{"Human":[0],"motion":[1,49,81,113,122],"control,":[2],"edit,":[3],"and":[4,53,55,70,107],"synthesis":[5],"are":[6,109],"important":[7],"tasks":[8],"to":[9,31,73,94],"create":[10],"3D":[11],"computer":[12],"graphics":[13],"video":[14],"games":[15],"or":[16],"movies,":[17],"because":[18],"some":[19],"characters":[20],"act":[21],"like":[22],"humans":[23],"in":[24],"most":[25],"of":[26,47,89],"them.":[27],"Our":[28],"aim":[29],"is":[30,51,92,97],"construct":[32],"a":[33,120,129,139],"system":[34],"which":[35,91],"can":[36,57,133],"generate":[37,134],"various":[38,135],"natural":[39],"character":[40],"motions.":[41],"We":[42],"assume":[43],"that":[44],"the":[45,84,87,95,105],"process":[46,66,88],"human":[48,80,112,121,136],"generation":[50,96],"complex":[52],"nonlinear,":[54],"it":[56,71],"be":[58,68,74],"modeled":[59,99],"by":[60,76,100],"deep":[61,101],"neural":[62,102],"networks.":[63,103],"However,":[64],"this":[65,116],"cannot":[67],"observed,":[69],"needs":[72],"estimated":[75],"learning":[77],"from":[78,138],"observable":[79],"data.":[82,114],"On":[83],"other":[85],"hand,":[86],"discrimination":[90],"opposite":[93],"also":[98],"And":[104],"generator":[106],"discriminator":[108],"trained":[110],"using":[111,125],"In":[115],"paper":[117],"we":[118],"constructed":[119],"generative":[123],"model":[124,132],"Wasserstein":[126],"GAN.":[127],"As":[128],"result,":[130],"our":[131],"motions":[137],"512-dimensional":[140],"latent":[141],"space.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}