{"id":"https://openalex.org/W7161292439","doi":"https://doi.org/10.48550/arxiv.2605.14935","title":"Multi-scale Coarse-to-fine Modeling for Test-time Human Motion Control","display_name":"Multi-scale Coarse-to-fine Modeling for Test-time Human Motion Control","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161292439","doi":"https://doi.org/10.48550/arxiv.2605.14935"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14935","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14935","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.2605.14935","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136191520","display_name":"Nhat Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Nhat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029813674","display_name":"Daochang Liu","orcid":"https://orcid.org/0000-0002-9279-7912"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Daochang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136235566","display_name":"Anh Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Anh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136210934","display_name":"Ajmal Mian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mian, Ajmal","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":0.8159000277519226,"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":0.8159000277519226,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.03999999910593033,"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"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.021299999207258224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.79830002784729},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.589900016784668},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5722000002861023},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5440000295639038},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5126000046730042},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.45660001039505005},{"id":"https://openalex.org/keywords/motion-control","display_name":"Motion control","score":0.4528000056743622},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4503999948501587}],"concepts":[{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.79830002784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214000225067139},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.589900016784668},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5722000002861023},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5440000295639038},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.4528000056743622},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4255000054836273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39890000224113464},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.37049999833106995},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31940001249313354},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C2779664074","wikidata":"https://www.wikidata.org/wiki/Q3518405","display_name":"Terminal (telecommunication)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14935","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14935","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.2605.14935","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14935","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"MSCoT,":[2],"a":[3,35,50,93,96],"multi-scale,":[4],"coarse-to-fine":[5,51,56],"model":[6],"for":[7,27,83],"test-time":[8,112],"human":[9],"motion":[10,33,160],"synthesis":[11],"and":[12,39,73,85,109,171],"control.":[13,87],"Unlike":[14],"recent":[15],"approaches":[16],"that":[17,66],"rely":[18],"on":[19,54,144,177],"multiple":[20],"iterative":[21],"denoising/token-prediction":[22],"steps,":[23],"or":[24],"modules":[25],"tailored":[26],"specific":[28],"control":[29,80,121,133,166],"signals,":[30],"MSCoT":[31,123,154],"discretizes":[32],"into":[34],"multi-scale":[36,62],"hierarchical":[37],"representation":[38],"predicts":[40],"the":[41,68,75,79,90,105,120,132],"entire":[42],"token":[43,63,76,98,107],"sequence":[44],"at":[45],"each":[46],"temporal":[47],"scale":[48],"in":[49],"fashion.":[52],"Building":[53],"this":[55],"paradigm,":[57],"we":[58],"propose":[59],"an":[60],"efficient":[61],"guidance":[64],"strategy":[65],"overcomes":[67],"challenge":[69],"of":[70,92,153],"discrete":[71,94,106],"sampling":[72,139],"steers":[74],"distribution":[77],"towards":[78],"goals,":[81],"allowing":[82],"fast":[84],"flexible":[86],"To":[88],"address":[89],"limitations":[91],"codebook,":[95],"lightweight":[97],"refiner":[99],"further":[100],"adds":[101],"continuous":[102],"residuals":[103],"to":[104,115,126],"embeddings":[108],"allows":[110],"differentiable":[111],"refinement":[113],"optimization":[114],"ensure":[116],"precise":[117],"alignment":[118],"with":[119,131,158],"objectives.":[122],"is":[124],"able":[125],"produce":[127],"quality":[128,161],"motions,":[129],"consistent":[130],"constraints,":[134],"while":[135],"offering":[136],"substantially":[137],"faster":[138,174],"than":[140],"diffusion-based":[141],"approaches.":[142],"Experiments":[143],"popular":[145],"benchmarks":[146],"demonstrate":[147],"state-of-the-art":[148],"controllable":[149],"text-to-motion":[150],"generation":[151],"performance":[152],"over":[155],"existing":[156],"baselines,":[157],"better":[159],"(48%":[162],"FID":[163],"improvement),":[164],"higher":[165],"accuracy":[167],"(-61%":[168],"avg":[169],"error),":[170],"$10":[172],"\\times$":[173],"inference":[175],"speed":[176],"HumanML3D.":[178]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}