{"id":"https://openalex.org/W3202733869","doi":"https://doi.org/10.1109/tvcg.2021.3115902","title":"A Music-Driven Deep Generative Adversarial Model for Guzheng Playing Animation","display_name":"A Music-Driven Deep Generative Adversarial Model for Guzheng Playing Animation","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3202733869","doi":"https://doi.org/10.1109/tvcg.2021.3115902","mag":"3202733869","pmid":"https://pubmed.ncbi.nlm.nih.gov/34582351"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2021.3115902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3115902","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100459761","display_name":"Jiali Chen","orcid":"https://orcid.org/0009-0008-8020-675X"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiali Chen","raw_affiliation_strings":["Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022008180","display_name":"Changjie Fan","orcid":"https://orcid.org/0000-0001-5420-0516"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjie Fan","raw_affiliation_strings":["Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101409714","display_name":"Zhimeng Zhang","orcid":"https://orcid.org/0000-0002-3695-1129"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimeng Zhang","raw_affiliation_strings":["Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022677400","display_name":"Gongzheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongzheng Li","raw_affiliation_strings":["Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723431","display_name":"Zeng Zhao","orcid":"https://orcid.org/0000-0002-7292-876X"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeng Zhao","raw_affiliation_strings":["Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107984555","display_name":"Zhigang Deng","orcid":"https://orcid.org/0000-0003-2571-5865"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhigang Deng","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101853531","display_name":"Yu Ding","orcid":"https://orcid.org/0000-0003-1834-4429"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Ding","raw_affiliation_strings":["Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Netease Fuxi AI Lab, Netease, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210091137"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100459761"],"corresponding_institution_ids":["https://openalex.org/I4210091137"],"apc_list":null,"apc_paid":null,"fwci":0.968,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.75442928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"29","issue":"2","first_page":"1400","last_page":"1414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9968000054359436,"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":0.9968000054359436,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9883999824523926,"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":0.9836999773979187,"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":0.8746205568313599},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.7567357420921326},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.7377689480781555},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6196793913841248},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5896974205970764},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5772454142570496},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5599861741065979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.547392725944519},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4939129948616028},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46427103877067566},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.43473735451698303},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.41067227721214294},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3675041198730469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.338332861661911},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.16265597939491272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8746205568313599},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.7567357420921326},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7377689480781555},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6196793913841248},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5896974205970764},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5772454142570496},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5599861741065979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.547392725944519},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4939129948616028},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46427103877067566},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.43473735451698303},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.41067227721214294},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3675041198730469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.338332861661911},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.16265597939491272},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2021.3115902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3115902","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:34582351","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34582351","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W19785814","https://openalex.org/W56717636","https://openalex.org/W1490463775","https://openalex.org/W1501181350","https://openalex.org/W1522301498","https://openalex.org/W1577581905","https://openalex.org/W1579696751","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1918373437","https://openalex.org/W1934184906","https://openalex.org/W1971654382","https://openalex.org/W1974597084","https://openalex.org/W1999681822","https://openalex.org/W2003223511","https://openalex.org/W2027454453","https://openalex.org/W2055697098","https://openalex.org/W2064675550","https://openalex.org/W2081316069","https://openalex.org/W2098047046","https://openalex.org/W2124399597","https://openalex.org/W2125389028","https://openalex.org/W2130020716","https://openalex.org/W2137089646","https://openalex.org/W2151654057","https://openalex.org/W2156605878","https://openalex.org/W2157796984","https://openalex.org/W2162744351","https://openalex.org/W2163301185","https://openalex.org/W2170049302","https://openalex.org/W2194775991","https://openalex.org/W2295661697","https://openalex.org/W2468212864","https://openalex.org/W2535388113","https://openalex.org/W2594814318","https://openalex.org/W2610585755","https://openalex.org/W2737658251","https://openalex.org/W2739192055","https://openalex.org/W2745771616","https://openalex.org/W2759271108","https://openalex.org/W2765811365","https://openalex.org/W2780124704","https://openalex.org/W2792764867","https://openalex.org/W2798122215","https://openalex.org/W2803747201","https://openalex.org/W2895226286","https://openalex.org/W2897492344","https://openalex.org/W2898275197","https://openalex.org/W2901285216","https://openalex.org/W2905338897","https://openalex.org/W2912984848","https://openalex.org/W2913030368","https://openalex.org/W2922298118","https://openalex.org/W2956074298","https://openalex.org/W2962730651","https://openalex.org/W2962795401","https://openalex.org/W2963073614","https://openalex.org/W2963446712","https://openalex.org/W2963830550","https://openalex.org/W2965465515","https://openalex.org/W2979708657","https://openalex.org/W2981263323","https://openalex.org/W3015674789","https://openalex.org/W3035486405","https://openalex.org/W3043158834","https://openalex.org/W3084572050","https://openalex.org/W3085146247","https://openalex.org/W3099073275","https://openalex.org/W3100204393","https://openalex.org/W3101017148","https://openalex.org/W3102619627","https://openalex.org/W3105160031","https://openalex.org/W3109718226","https://openalex.org/W3116722996","https://openalex.org/W3118948698","https://openalex.org/W3176721746","https://openalex.org/W3184510571","https://openalex.org/W3187364420","https://openalex.org/W3197199219","https://openalex.org/W6622638115","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6654074732","https://openalex.org/W6678815747","https://openalex.org/W6688681492","https://openalex.org/W6690680624","https://openalex.org/W6697166014","https://openalex.org/W6731370813","https://openalex.org/W6732742723","https://openalex.org/W6749825310","https://openalex.org/W6750469568","https://openalex.org/W6752114883","https://openalex.org/W6756864065","https://openalex.org/W6770189946","https://openalex.org/W6770208262","https://openalex.org/W6777740146","https://openalex.org/W6779661269","https://openalex.org/W6781183576","https://openalex.org/W6785853836"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3169129874","https://openalex.org/W2018882065","https://openalex.org/W4210514273","https://openalex.org/W2379697716","https://openalex.org/W4285097057","https://openalex.org/W4385421777","https://openalex.org/W2971552217"],"abstract_inverted_index":{"To":[0],"date":[1],"relatively":[2],"few":[3],"efforts":[4],"have":[5],"been":[6],"made":[7],"on":[8,63,70],"the":[9,23,36,89,93,96,109,144,153,164,167],"automatic":[10],"generation":[11],"of":[12,38,111,118,166],"musical":[13],"instrument":[14],"playing":[15],"animations.":[16],"This":[17],"problem":[18],"is":[19,105],"challenging":[20],"due":[21],"to":[22,56,87,107,114],"intrinsically":[24],"complex,":[25],"temporal":[26,90],"relationship":[27,91],"between":[28,92],"music":[29,66,94,120],"and":[30,95,125,148],"human":[31,97],"motion":[32,42,74,98],"as":[33,35],"well":[34,141],"lacking":[37],"high":[39],"quality":[40],"music-playing":[41],"datasets.":[43],"In":[44,100,156],"this":[45,101],"article,":[46],"we":[47,77,128,162],"propose":[48],"a":[49,71,80,116],"fully":[50],"automatic,":[51],"deep":[52],"learning":[53],"based":[54,62,69,85],"framework":[55],"synthesize":[57],"realistic":[58],"upper":[59],"body":[60],"animations":[61,138],"novel":[64],"guzheng":[65,119,146],"input.":[67],"Specifically,":[68],"recorded":[72],"audiovisual":[73],"capture":[75,88],"dataset,":[76],"delicately":[78],"design":[79],"generative":[81],"adversarial":[82],"network":[83],"(GAN)":[84],"approach":[86,113],"data.":[99],"process,":[102],"data":[103],"augmentation":[104],"employed":[106],"improve":[108],"generalization":[110],"our":[112,131,171],"handle":[115],"variety":[117],"inputs.":[121],"Through":[122],"extensive":[123],"objective":[124],"subjective":[126],"experiments,":[127],"show":[129],"that":[130,139],"method":[132],"can":[133,150],"generate":[134],"visually":[135],"plausible":[136],"guzheng-playing":[137],"are":[140],"synchronized":[142],"with":[143],"input":[145],"music,":[147],"it":[149],"significantly":[151],"outperform":[152],"state-of-the-art":[154],"methods.":[155],"addition,":[157],"through":[158],"an":[159],"ablation":[160],"study,":[161],"validate":[163],"contributions":[165],"carefully-designed":[168],"modules":[169],"in":[170],"framework.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}