{"id":"https://openalex.org/W7133531432","doi":"https://doi.org/10.48550/arxiv.2603.02910","title":"Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement","display_name":"Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133531432","doi":"https://doi.org/10.48550/arxiv.2603.02910"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.02910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02910","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.02910","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125072817","display_name":"Hao Ai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ai, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125088800","display_name":"Wenjie Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Wenjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120302755","display_name":"Jianbo Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Jianbo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085971943","display_name":"Ale\u0161 Leonardis","orcid":"https://orcid.org/0000-0003-0773-3277"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leonardis, Ales","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128069351","display_name":"Ofek Eyal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eyal, Ofek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.6718000173568726,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.6718000173568726,"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/T12290","display_name":"Human Motion and Animation","score":0.12210000306367874,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.06069999933242798,"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/articulation","display_name":"Articulation (sociology)","score":0.7146000266075134},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6766999959945679},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.5501000285148621},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5498999953269958},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5489000082015991},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5475999712944031},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5371999740600586}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7168999910354614},{"id":"https://openalex.org/C2779337067","wikidata":"https://www.wikidata.org/wiki/Q4800961","display_name":"Articulation (sociology)","level":3,"score":0.7146000266075134},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6766999959945679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647999882698059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.663100004196167},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.5501000285148621},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5498999953269958},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5489000082015991},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5475999712944031},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5371999740600586},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5284000039100647},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.383899986743927},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C36933642","wikidata":"https://www.wikidata.org/wiki/Q214090","display_name":"Place of articulation","level":4,"score":0.27730000019073486},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.02910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02910","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.02910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02910","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":"article"},"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":{"Articulated":[0],"objects":[1,64,224],"are":[2],"ubiquitous":[3],"in":[4,69,76,85],"daily":[5],"life.":[6],"Our":[7,203],"goal":[8],"is":[9,61,117,156],"to":[10,141,158],"achieve":[11,159],"a":[12,43,81,102,107,112,128,152,196],"high-quality":[13,201],"reconstruction,":[14],"segmentation":[15,209],"of":[16,22,46,49,124,134,183,232],"independent":[17],"moving":[18,170],"parts,":[19,192],"and":[20,31,57,94,106,127,147,175,222,228],"analysis":[21,162,218],"articulation.":[23],"Recent":[24],"methods":[25],"analyse":[26],"two":[27],"different":[28],"articulation":[29,38,92,149],"states":[30],"perform":[32],"per-point":[33],"part":[34,160,208],"segmentation,":[35],"optimising":[36],"per-part":[37],"using":[39],"cross-state":[40],"correspondences,":[41],"given":[42],"priori":[44],"knowledge":[45],"the":[47,125,132,143,181,189,226],"number":[48,182],"parts.":[50,136,184],"Such":[51],"assumptions":[52],"greatly":[53],"limit":[54],"their":[55],"applications":[56],"performance.":[58],"Their":[59],"robustness":[60],"reduced":[62],"when":[63],"cannot":[65],"be":[66],"clearly":[67],"visible":[68],"both":[70,220],"states.":[71],"To":[72],"address":[73],"these":[74],"issues,":[75],"this":[77],"paper,":[78],"we":[79],"present":[80],"new":[82],"framework,":[83],"Articulation":[84],"Motion":[86],"(AiM).":[87],"We":[88,110],"infer":[89],"part-level":[90,165],"decomposition,":[91],"kinematics,":[93],"reconstruct":[95],"an":[96,120],"interactive":[97],"3D":[98,197],"digital":[99],"replica":[100],"from":[101,119],"user-object":[103],"interaction":[104],"video":[105,129],"start-state":[108],"scan.":[109],"propose":[111],"dual-Gaussian":[113],"scene":[114],"representation":[115],"that":[116,130],"learned":[118],"initial":[121],"3DGS":[122],"scan":[123],"object":[126,144,190],"shows":[131],"movement":[133],"separate":[135],"It":[137],"uses":[138],"motion":[139],"cues":[140],"segment":[142],"into":[145,172,191],"parts":[146,174],"assign":[148],"joints.":[150],"Subsequently,":[151],"robust,":[153],"sequential":[154],"RANSAC":[155],"employed":[157],"mobility":[161],"without":[163,213],"any":[164],"structural":[166],"priors,":[167],"which":[168],"clusters":[169],"primitives":[171],"rigid":[173],"estimates":[176],"kinematics":[177],"while":[178],"automatically":[179],"determining":[180],"The":[185],"proposed":[186],"approach":[187,204],"separates":[188],"each":[193],"represented":[194],"as":[195],"Gaussian":[198],"set,":[199],"enabling":[200],"rendering.":[202],"yields":[205],"higher":[206],"quality":[207],"than":[210],"previous":[211],"methods,":[212],"prior":[214],"knowledge.":[215],"Extensive":[216],"experimental":[217],"on":[219],"simple":[221],"complex":[223],"validates":[225],"effectiveness":[227],"strong":[229],"generalisation":[230],"ability":[231],"our":[233],"approach.":[234],"Project":[235],"page:":[236],"https://haoai-1997.github.io/AiM/.":[237]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-05T00:00:00"}