{"id":"https://openalex.org/W7166736597","doi":"https://doi.org/10.48550/arxiv.2606.28568","title":"KM-Speaker: Keypoint-Based Style Control for High-Quality Speech-Driven 3D Facial Animation and Dialogue Localization","display_name":"KM-Speaker: Keypoint-Based Style Control for High-Quality Speech-Driven 3D Facial Animation and Dialogue Localization","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166736597","doi":"https://doi.org/10.48550/arxiv.2606.28568"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.28568","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28568","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":null,"license_id":null,"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.2606.28568","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004312722","display_name":"Arthur Josi","orcid":"https://orcid.org/0000-0002-4362-4898"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Josi, Arthur","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093557899","display_name":"Emeline Got","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Got, Emeline","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064254703","display_name":"Abdallah Dib","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dib, Abdallah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025564604","display_name":"Luiz G. Hafemann","orcid":"https://orcid.org/0000-0002-8311-0728"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hafemann, Luiz Gustavo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124125131","display_name":"Rafael M. O. Cruz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cruz, Rafael M. O.","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/T11448","display_name":"Face recognition and analysis","score":0.849399983882904,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.849399983882904,"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":0.07050000131130219,"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/T10860","display_name":"Speech and Audio Processing","score":0.03099999949336052,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/animation","display_name":"Animation","score":0.7552000284194946},{"id":"https://openalex.org/keywords/computer-facial-animation","display_name":"Computer facial animation","score":0.676800012588501},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.6312000155448914},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5825999975204468},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.58160001039505},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5016999840736389},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.49880000948905945},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4496999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623000144958496},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.7552000284194946},{"id":"https://openalex.org/C138591656","wikidata":"https://www.wikidata.org/wiki/Q5157538","display_name":"Computer facial animation","level":4,"score":0.676800012588501},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.6312000155448914},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5825999975204468},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.58160001039505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156999826431274},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5016999840736389},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.49880000948905945},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4496999979019165},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.4147999882698059},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3815000057220459},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.33799999952316284},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31619998812675476},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.28568","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28568","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.28568","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28568","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Speech-driven":[0],"3D":[1,124],"facial":[2,62,125],"animation":[3,38,126],"methods":[4,141],"face":[5],"significant":[6],"challenges":[7],"in":[8,134,142],"simultaneously":[9],"achieving":[10,128],"high-fidelity":[11,129],"motion":[12,103,130],"and":[13,87,131,147],"precise":[14],"artistic":[15],"control":[16,27,90],"at":[17],"production":[18],"quality.":[19],"Existing":[20],"controllable":[21],"models":[22],"typically":[23],"learn":[24],"global":[25,84,111],"style":[26,85,112,145],"by":[28,127],"relying":[29],"on":[30],"large-scale,":[31],"low-quality":[32],"\\emph{in-the-wild}":[33],"datasets":[34],"that":[35,81,99],"compromise":[36],"overall":[37],"realism.":[39],"Furthermore,":[40],"these":[41],"frameworks":[42],"often":[43],"lack":[44],"the":[45],"fine-grained":[46],"temporal":[47,89,149],"precision":[48],"required":[49],"for":[50],"demanding":[51],"tasks":[52],"such":[53],"as":[54,65,67],"dialogue":[55],"localization":[56],"(e.g.,":[57],"dubbing),":[58],"where":[59],"matching":[60],"specific":[61],"expressions":[63],"is":[64],"critical":[66],"lip":[68,102],"synchronization.":[69],"We":[70,94],"present":[71],"KM-Speaker":[72,121],"(Keypoint-Matching":[73],"Speaker),":[74],"a":[75,96,110,135],"novel":[76],"keypoint-conditioned":[77],"flow-based":[78],"generative":[79],"framework":[80],"provides":[82],"both":[83],"guidance":[86],"frame-level":[88],"from":[91,104],"reference":[92],"performances.":[93],"propose":[95],"disentanglement":[97],"strategy":[98],"separates":[100],"audio-driven":[101],"keypoint-driven":[105],"upper-face":[106],"dynamics,":[107],"together":[108],"with":[109],"context":[113],"preservation":[114],"mechanism":[115],"to":[116],"ensure":[117],"coherent":[118],"full-face":[119],"expressiveness.":[120],"advances":[122],"example-based":[123],"flexible":[132],"controllability":[133],"data-constrained":[136],"setting,":[137],"consistently":[138],"outperforming":[139],"state-of-the-art":[140],"lip-sync":[143],"accuracy,":[144],"adherence,":[146],"expressive":[148],"control.":[150]},"counts_by_year":[],"updated_date":"2026-07-01T06:29:00.853634","created_date":"2026-07-01T00:00:00"}