{"id":"https://openalex.org/W4417248883","doi":"https://doi.org/10.1109/tvcg.2025.3642740","title":"DanceAgent: Dance Movement Refinement With LLM Agent","display_name":"DanceAgent: Dance Movement Refinement With LLM Agent","publication_year":2025,"publication_date":"2025-12-11","ids":{"openalex":"https://openalex.org/W4417248883","doi":"https://doi.org/10.1109/tvcg.2025.3642740","pmid":"https://pubmed.ncbi.nlm.nih.gov/41379928"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2025.3642740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2025.3642740","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/A5100955523","display_name":"Shang Cheng","orcid":"https://orcid.org/0009-0005-5280-5788"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Shang","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","School of Computer Science, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0009-0005-5280-5788","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xingyu Chen","orcid":"https://orcid.org/0009-0000-8808-4891"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Chen","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-8808-4891","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102019986","display_name":"Liang An","orcid":"https://orcid.org/0000-0002-1028-3759"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang An","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1028-3759","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111205847","display_name":"Jiajun Zhang","orcid":"https://orcid.org/0009-0002-9712-9953"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Zhang","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-9712-9953","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103102493","display_name":"Yuxiang Zhang","orcid":"https://orcid.org/0000-0002-8807-0825"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Zhang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8807-0825","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032875389","display_name":"Yebin Liu","orcid":"https://orcid.org/0000-0003-3215-0225"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yebin Liu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3215-0225","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010767009","display_name":"Xubo Yang","orcid":"https://orcid.org/0000-0001-5378-4003"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xubo Yang","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","School of Computer Science, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0001-5378-4003","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42306479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"3","first_page":"2499","last_page":"2514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9717000126838684,"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":0.9717000126838684,"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":0.0066999997943639755,"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":0.004800000227987766,"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":0.9021000266075134},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6183000206947327},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5188999772071838},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5051000118255615},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.46709999442100525},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.44130000472068787},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4090000092983246},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.38839998841285706}],"concepts":[{"id":"https://openalex.org/C147446459","wikidata":"https://www.wikidata.org/wiki/Q11639","display_name":"Dance","level":2,"score":0.9021000266075134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7548999786376953},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6183000206947327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321999788284302},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.517300009727478},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5051000118255615},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37310001254081726},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2743000090122223},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C183920142","wikidata":"https://www.wikidata.org/wiki/Q180856","display_name":"Choreography","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2531000077724457},{"id":"https://openalex.org/C2980749","wikidata":"https://www.wikidata.org/wiki/Q8341","display_name":"Jazz","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2025.3642740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2025.3642740","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:41379928","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41379928","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":[{"id":"https://openalex.org/G8394430395","display_name":null,"funder_award_id":"62272305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8989291188","display_name":null,"funder_award_id":"62125107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2474702929","https://openalex.org/W2971856312","https://openalex.org/W3108262631","https://openalex.org/W3176445421","https://openalex.org/W3201008491","https://openalex.org/W3203711169","https://openalex.org/W3205483086","https://openalex.org/W4288079574","https://openalex.org/W4312587200","https://openalex.org/W4312612133","https://openalex.org/W4312635677","https://openalex.org/W4312933868","https://openalex.org/W4312936899","https://openalex.org/W4385489997","https://openalex.org/W4386065848","https://openalex.org/W4387963301","https://openalex.org/W4387963302","https://openalex.org/W4389339329","https://openalex.org/W4390075359","https://openalex.org/W4390871696","https://openalex.org/W4390873438","https://openalex.org/W4390874263","https://openalex.org/W4391305822","https://openalex.org/W4394598056","https://openalex.org/W4399574575","https://openalex.org/W4400381281","https://openalex.org/W4402703025","https://openalex.org/W4402715826","https://openalex.org/W4402727046","https://openalex.org/W4402753661","https://openalex.org/W4402754111","https://openalex.org/W4402754156","https://openalex.org/W4402916263","https://openalex.org/W4402951640","https://openalex.org/W4403791391","https://openalex.org/W4403809069","https://openalex.org/W4404439868"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"research":[1],"on":[2,9,33,84,90,175,187],"motion":[3,11,15,18,62,121,163],"generation":[4,214],"and":[5,17,35,64,87,106,116,124,138,162,181,191,205],"text-to-motion":[6,23],"synthesis":[7],"focus":[8],"coarse-grained":[10],"descriptions,":[12],"neglecting":[13],"fine-grained":[14,80],"details":[16],"quality":[19],"refinement.":[20,184],"Additionally,":[21],"current":[22],"models,":[24],"such":[25,56],"as":[26,57],"MotionGPT,":[27],"lack":[28],"multi-turn":[29,150],"interaction":[30,49],"capabilities,":[31],"relying":[32],"single-turn":[34],"single-modality":[36],"transformations,":[37],"which":[38,93],"limit":[39],"their":[40,176],"ability":[41],"to":[42,132],"integrate":[43],"information":[44],"from":[45],"different":[46],"modalities":[47],"across":[48],"stages.":[50],"These":[51],"gaps":[52],"leave":[53],"critical":[54],"questions,":[55],"\"How":[58,65],"well":[59],"is":[60],"the":[61,88,120,143,188,216],"performed\"":[63],"can":[66],"it":[67],"be":[68],"refined?\"":[69],"largely":[70],"unaddressed.":[71],"To":[72],"address":[73],"these":[74],"issues,":[75],"first,":[76],"we":[77,94,112,147],"introduce":[78,113],"two":[79],"dance":[81,86,101,170,190,193,219],"datasets-one":[82],"focusing":[83],"jazz":[85,189],"other":[89],"folk":[91,192],"dance,":[92],"have":[95],"independently":[96],"collected.":[97],"Second,":[98],"considering":[99],"that":[100,154,196],"motions":[102],"are":[103],"inherently":[104],"complex":[105],"consist":[107],"of":[108,218],"long":[109],"sequential":[110],"actions,":[111],"both":[114,203],"global":[115],"local":[117],"optimization":[118],"during":[119],"encoding":[122],"phase":[123],"employ":[125],"Hidden":[126],"Markov":[127],"Model":[128],"(HMM)":[129],"temporal":[130],"modeling":[131],"capture":[133],"differential":[134],"features":[135],"between":[136],"correct":[137],"incorrect":[139],"movements,":[140,177],"thereby":[141],"optimizing":[142],"training":[144],"process.":[145],"Finally,":[146],"propose":[148],"a":[149,209],"historical":[151],"dialogue":[152],"framework":[153,168],"enables":[155],"three":[156],"stages":[157],"generation-motion":[158],"assess,":[159],"text":[160],"instructions,":[161,180],"refinement-for":[164],"input":[165],"videos.":[166],"This":[167],"assists":[169],"beginners":[171],"by":[172],"providing":[173],"feedback":[174],"offering":[178],"textual":[179],"delivering":[182],"motion-based":[183],"Experimental":[185],"results":[186],"datasets":[194],"demonstrate":[195],"our":[197],"method":[198],"surpasses":[199],"existing":[200],"approaches":[201],"in":[202,215],"quantitative":[204],"qualitative":[206],"metrics,":[207],"establishing":[208],"new":[210],"benchmark":[211],"for":[212],"motion-text":[213],"field":[217],"training.":[220]},"counts_by_year":[],"updated_date":"2026-02-12T06:13:03.167441","created_date":"2025-12-11T00:00:00"}
