{"id":"https://openalex.org/W7155043155","doi":"https://doi.org/10.48550/arxiv.2604.17005","title":"TeMuDance: Contrastive Alignment-Based Textual Control for Music-Driven Dance Generation","display_name":"TeMuDance: Contrastive Alignment-Based Textual Control for Music-Driven Dance Generation","publication_year":2026,"publication_date":"2026-04-18","ids":{"openalex":"https://openalex.org/W7155043155","doi":"https://doi.org/10.48550/arxiv.2604.17005"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17005","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17005","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.17005","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134124977","display_name":"Xinran Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xinran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134120820","display_name":"Diptesh Kanojia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kanojia, Diptesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134181922","display_name":"Wenwu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenwu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5020357811","display_name":"Zhenhua Feng","orcid":"https://orcid.org/0000-0003-1948-7616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Zhenhua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.7299000024795532,"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":0.7299000024795532,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.08479999750852585,"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":0.06319999694824219,"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/dance","display_name":"Dance","score":0.7099999785423279},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.642799973487854},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5584999918937683},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.49570000171661377},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.48069998621940613},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4512999951839447},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.37380000948905945},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3490000069141388},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3427000045776367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411999702453613},{"id":"https://openalex.org/C147446459","wikidata":"https://www.wikidata.org/wiki/Q11639","display_name":"Dance","level":2,"score":0.7099999785423279},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.642799973487854},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5584999918937683},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47589999437332153},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3375999927520752},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3001999855041504},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2987000048160553},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17005","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17005","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.17005","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17005","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6594561338424683}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"music-driven":[1],"dance":[2,68,182],"generation":[3,69],"approaches":[4],"have":[5],"achieved":[6],"strong":[7],"realism":[8],"and":[9,45,96],"effective":[10],"audio-motion":[11],"alignment.":[12],"However,":[13],"they":[14],"generally":[15],"lack":[16],"semantic":[17,90,135],"controllability,":[18],"making":[19],"it":[20],"difficult":[21],"to":[22,92],"guide":[23],"specific":[24],"movements":[25],"through":[26],"natural":[27],"language":[28],"descriptions.":[29],"This":[30],"limitation":[31],"primarily":[32],"stems":[33],"from":[34],"the":[35,143,168],"absence":[36],"of":[37,50,107,123],"large-scale":[38],"datasets":[39,98],"that":[40,62,84,162,178],"jointly":[41],"align":[42,93],"music,":[43],"text,":[44],"motion":[46,86],"for":[47,66,110],"supervised":[48],"learning":[49],"text-conditioned":[51,187],"control.":[52],"To":[53,137],"address":[54],"this":[55],"challenge,":[56],"we":[57,146],"propose":[58,157],"TeMuDance,":[59],"a":[60,80,88,100,124,148,158],"framework":[61],"enables":[63],"text-based":[64],"control":[65,116,188],"music-conditioned":[67],"without":[70],"requiring":[71],"any":[72],"manually":[73],"annotated":[74],"music-text-motion":[75],"triplet":[76],"dataset.":[77],"TeMuDance":[78,179],"introduces":[79],"motion-centred":[81],"bridging":[82],"paradigm":[83],"leverages":[85],"as":[87],"shared":[89],"anchor":[91],"disjoint":[94],"music-dance":[95],"text-motion":[97],"within":[99],"unified":[101],"embedding":[102],"space,":[103],"enabling":[104,133],"cross-modal":[105],"retrieval":[106],"missing":[108],"modalities":[109],"end-to-end":[111],"training.":[112],"A":[113],"lightweight":[114],"text":[115],"branch":[117],"is":[118],"then":[119],"trained":[120],"on":[121],"top":[122],"frozen":[125],"music-to-dance":[126],"diffusion":[127],"backbone,":[128],"preserving":[129],"rhythmic":[130],"fidelity":[131],"while":[132,184],"fine-grained":[134],"guidance.":[136],"further":[138],"suppress":[139],"noise":[140],"inherent":[141],"in":[142],"retrieved":[144],"supervision,":[145],"design":[147],"dual-stream":[149],"fine-tuning":[150],"strategy":[151],"with":[152],"confidence-based":[153],"filtering.":[154],"We":[155],"also":[156],"novel":[159],"task-aligned":[160],"metric":[161],"quantifies":[163],"whether":[164],"textual":[165],"prompts":[166],"induce":[167],"intended":[169],"kinematic":[170],"attributes":[171],"under":[172],"music":[173],"conditioning.":[174],"Extensive":[175],"experiments":[176],"demonstrate":[177],"achieves":[180],"competitive":[181],"quality":[183],"substantially":[185],"improving":[186],"over":[189],"existing":[190],"methods.":[191]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}