{"id":"https://openalex.org/W7153187063","doi":"https://doi.org/10.48550/arxiv.2604.07758","title":"DailyArt: Discovering Articulation from Single Static Images via Latent Dynamics","display_name":"DailyArt: Discovering Articulation from Single Static Images via Latent Dynamics","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153187063","doi":"https://doi.org/10.48550/arxiv.2604.07758"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.07758","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07758","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.2604.07758","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133377773","display_name":"Hang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Hang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602703","display_name":"Qijian Tian","orcid":"https://orcid.org/0000-0001-7218-4978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Qijian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133347935","display_name":"Jingyu Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gong, Jingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133352040","display_name":"Daoguo Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Daoguo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133325857","display_name":"Xuhong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xuhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133319360","display_name":"Yuan Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133318066","display_name":"Xin Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Xin","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.6233999729156494,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.6233999729156494,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.1404999941587448,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.10949999839067459,"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/articulation","display_name":"Articulation (sociology)","score":0.7261999845504761},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.684499979019165},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6340000033378601},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5378999710083008},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5144000053405762},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4779999852180481},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45750001072883606}],"concepts":[{"id":"https://openalex.org/C2779337067","wikidata":"https://www.wikidata.org/wiki/Q4800961","display_name":"Articulation (sociology)","level":3,"score":0.7261999845504761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898000240325928},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.684499979019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636000275611877},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6340000033378601},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6132000088691711},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5378999710083008},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5144000053405762},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4779999852180481},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.4221000075340271},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2669000029563904},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.07758","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07758","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.2604.07758","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07758","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Articulated":[0],"objects":[1],"are":[2,25],"essential":[3],"for":[4],"embodied":[5],"AI":[6],"and":[7,101,116,170],"world":[8],"models,":[9],"yet":[10],"inferring":[11],"their":[12],"kinematics":[13],"from":[14,64,79,110],"a":[15,65,70,80,87,120,155],"single":[16,66],"closed-state":[17],"image":[18,68],"remains":[19],"challenging":[20],"because":[21],"crucial":[22],"motion":[23],"cues":[24],"often":[26],"occluded.":[27],"Existing":[28],"methods":[29],"either":[30],"require":[31],"multi-state":[32],"observations":[33],"or":[34,41,134],"rely":[35],"on":[36,177],"explicit":[37,135],"part":[38,136],"priors,":[39],"retrieval,":[40],"other":[42],"auxiliary":[43],"inputs":[44],"that":[45,161],"partially":[46],"expose":[47,98],"the":[48,93,104,111,114,146],"structure":[49],"to":[50,97],"be":[51],"inferred.":[52],"In":[53],"this":[54],"work,":[55],"we":[56],"present":[57],"DailyArt,":[58],"which":[59],"formulates":[60],"articulated":[61,89,167],"joint":[62,108,168],"estimation":[63,169],"static":[67],"as":[69,144,154],"synthesis-mediated":[71],"reasoning":[72],"problem.":[73],"Instead":[74],"of":[75,107],"directly":[76],"regressing":[77],"joints":[78,126,143],"heavily":[81],"occluded":[82],"observation,":[83],"DailyArt":[84,123,162],"first":[85],"synthesizes":[86],"maximally":[88],"opened":[90],"state":[91,152,174],"under":[92],"same":[94],"camera":[95],"view":[96],"articulation":[99],"cues,":[100],"then":[102],"estimates":[103],"full":[105],"set":[106],"parameters":[109],"discrepancy":[112],"between":[113],"observed":[115],"synthesized":[117],"states.":[118],"Using":[119],"set-prediction":[121],"formulation,":[122],"recovers":[124],"all":[125],"simultaneously":[127],"without":[128],"requiring":[129],"object-specific":[130],"templates,":[131],"multi-view":[132],"inputs,":[133],"annotations":[137],"at":[138,183],"test":[139],"time.":[140],"Taking":[141],"estimated":[142],"conditions,":[145],"framework":[147],"further":[148],"supports":[149,171],"part-level":[150,172],"novel":[151,173],"synthesis":[153,175],"downstream":[156],"capability.":[157],"Extensive":[158],"experiments":[159],"show":[160],"achieves":[163],"strong":[164],"performance":[165],"in":[166],"conditioned":[176],"joints.":[178],"Project":[179],"page":[180],"is":[181],"available":[182],"https://rangooo123.github.io/DaliyArt.github.io/.":[184]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-11T00:00:00"}
