{"id":"https://openalex.org/W7148263092","doi":"https://doi.org/10.48550/arxiv.2604.00857","title":"Sparkle: A Robust and Versatile Representation for Point Cloud based Human Motion Capture","display_name":"Sparkle: A Robust and Versatile Representation for Point Cloud based Human Motion Capture","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W7148263092","doi":"https://doi.org/10.48550/arxiv.2604.00857"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.00857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00857","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.2604.00857","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132809547","display_name":"Yiming Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Yiming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132790274","display_name":"Yujing Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yujing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114658063","display_name":"Aoru Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue, Aoru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132827360","display_name":"Kwok-Yan Lam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lam, Kwok-Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132799512","display_name":"Yuexin Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yuexin","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6557999849319458,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6557999849319458,"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/T12290","display_name":"Human Motion and Animation","score":0.1324000060558319,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.10239999741315842,"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/robustness","display_name":"Robustness (evolution)","score":0.7085999846458435},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7045999765396118},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6916000247001648},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.635200023651123},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.6304000020027161},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5924999713897705},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4431999921798706},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43959999084472656},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.39730000495910645}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7085999846458435},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7045999765396118},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6916000247001648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6607000231742859},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.635200023651123},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.6304000020027161},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5924999713897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828999876976013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4519999921321869},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.3788999915122986},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35100001096725464},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.34220001101493835},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.2587999999523163},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.00857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00857","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.2604.00857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00857","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":{"Point":[0],"cloud-based":[1],"motion":[2,54],"capture":[3,55],"leverages":[4],"rich":[5],"spatial":[6],"geometry":[7],"and":[8,35,60,74,93,118,125,136],"privacy-preserving":[9],"sensing,":[10],"but":[11,33,39,114],"learning":[12],"robust":[13],"representations":[14],"from":[15,102],"noisy,":[16],"unstructured":[17],"point":[18],"clouds":[19],"remains":[20],"challenging.":[21],"Existing":[22],"approaches":[23],"face":[24],"a":[25,68],"struggle":[26],"trade-off":[27],"between":[28],"point-based":[29],"methods":[30],"(geometrically":[31],"detailed":[32],"noisy)":[34],"skeleton-based":[36],"ones":[37],"(robust":[38],"oversimplified).":[40],"We":[41],"address":[42],"the":[43],"fundamental":[44],"challenge:":[45],"how":[46],"to":[47],"construct":[48],"an":[49],"effective":[50],"representation":[51,70,86],"for":[52],"human":[53],"that":[56],"can":[57],"balance":[58],"expressiveness":[59],"robustness.":[61],"In":[62],"this":[63,85],"paper,":[64],"we":[65],"propose":[66],"Sparkle,":[67],"structured":[69],"unifying":[71],"skeletal":[72],"joints":[73],"surface":[75,104],"anchors":[76],"with":[77],"explicit":[78],"kinematic-geometric":[79],"factorization.":[80],"Our":[81],"framework,":[82],"SparkleMotion,":[83],"learns":[84],"through":[87],"hierarchical":[88],"modules":[89],"embedding":[90],"geometric":[91],"continuity":[92],"kinematic":[94,100],"constraints.":[95],"By":[96],"explicitly":[97],"disentangling":[98],"internal":[99],"structure":[101],"external":[103],"geometry,":[105],"SparkleMotion":[106],"achieves":[107],"state-of-the-art":[108],"performance":[109],"not":[110],"only":[111],"in":[112,116],"accuracy":[113],"crucially":[115],"robustness":[117],"generalization":[119],"under":[120],"severe":[121],"domain":[122],"shifts,":[123],"noise,":[124],"occlusion.":[126],"Extensive":[127],"experiments":[128],"demonstrate":[129],"our":[130],"superiority":[131],"across":[132],"diverse":[133],"sensor":[134],"types":[135],"challenging":[137],"real-world":[138],"scenarios.":[139]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-03T00:00:00"}