{"id":"https://openalex.org/W7150944031","doi":"https://doi.org/10.48550/arxiv.2604.03181","title":"Multi-View Video Diffusion Policy: A 3D Spatio-Temporal-Aware Video Action Model","display_name":"Multi-View Video Diffusion Policy: A 3D Spatio-Temporal-Aware Video Action Model","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150944031","doi":"https://doi.org/10.48550/arxiv.2604.03181"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03181","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03181","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.2604.03181","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133021633","display_name":"Peiyan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Peiyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133003345","display_name":"Yixiang Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yixiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133002212","display_name":"Yuan Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133051047","display_name":"Jiabing Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Jiabing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022649370","display_name":"Xinhai Wu","orcid":"https://orcid.org/0000-0001-6123-0350"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xiangnan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133010035","display_name":"Jun Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133007854","display_name":"Nan Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Nan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133060729","display_name":"Long Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Long","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133000025","display_name":"Xinghang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xinghang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133036085","display_name":"Xin Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133032785","display_name":"Jing Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074100803","display_name":"Nianfeng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Nianfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133033434","display_name":"Tao Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133051407","display_name":"Yan Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133003122","display_name":"Liang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133052538","display_name":"Tieniu Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Tieniu","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/T10653","display_name":"Robot Manipulation and Learning","score":0.32910001277923584,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.32910001277923584,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.18889999389648438,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.11829999834299088,"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":0.6992999911308289},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5472000241279602},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5110999941825867},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47699999809265137},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4146000146865845},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.357699990272522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962999939918518},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6992999911308289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6351000070571899},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5249999761581421},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47699999809265137},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.3425999879837036},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.3409000039100647},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32589998841285706},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03181","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03181","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.2604.03181","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03181","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Robotic":[0],"manipulation":[1],"requires":[2],"understanding":[3,45],"both":[4],"the":[5,10,63,68,86,102,109,187],"3D":[6,64],"spatial":[7],"structure":[8],"of":[9,46,67,89,153,186],"environment":[11,47,110],"and":[12,31,43,80,95,129,137,160,168,179],"its":[13],"temporal":[14],"evolution,":[15],"yet":[16],"most":[17],"existing":[18],"policies":[19],"overlook":[20],"one":[21],"or":[22],"both.":[23],"They":[24],"typically":[25],"rely":[26],"on":[27,34,166],"2D":[28],"visual":[29],"observations":[30],"backbones":[32],"pretrained":[33],"static":[35],"image--text":[36],"pairs,":[37],"resulting":[38],"in":[39,115,189],"high":[40],"data":[41],"requirements":[42],"limited":[44],"dynamics.":[48],"To":[49],"address":[50],"this,":[51],"we":[52],"introduce":[53],"MV-VDP,":[54],"a":[55,151,183],"multi-view":[56,77],"video":[57,90],"diffusion":[58],"policy":[59],"that":[60,123,173],"jointly":[61],"models":[62],"spatio-temporal":[65],"state":[66,185],"environment.":[69],"The":[70],"core":[71],"idea":[72],"is":[73,111],"to":[74,113,117,157],"simultaneously":[75],"predict":[76],"heatmap":[78],"videos":[79],"RGB":[81],"videos,":[82],"which":[83],"1)":[84],"align":[85],"representation":[87],"format":[88],"pretraining":[91],"with":[92],"action":[93],"finetuning,":[94],"2)":[96],"specify":[97],"not":[98],"only":[99,133],"what":[100],"actions":[101],"robot":[103],"should":[104],"take,":[105],"but":[106],"also":[107],"how":[108],"expected":[112],"evolve":[114],"response":[116],"those":[118],"actions.":[119],"Extensive":[120],"experiments":[121],"show":[122],"MV-VDP":[124,141,174],"enables":[125],"data-efficient,":[126],"robust,":[127],"generalizable,":[128],"interpretable":[130],"manipulation.":[131,192],"With":[132],"ten":[134],"demonstration":[135],"trajectories":[136],"without":[138],"additional":[139],"pretraining,":[140],"successfully":[142],"performs":[143],"complex":[144],"real-world":[145,169],"tasks,":[146],"demonstrates":[147],"strong":[148],"robustness":[149],"across":[150],"range":[152],"model":[154],"hyperparameters,":[155],"generalizes":[156],"out-of-distribution":[158],"settings,":[159],"predicts":[161],"realistic":[162],"future":[163],"videos.":[164],"Experiments":[165],"Meta-World":[167],"robotic":[170],"platforms":[171],"demonstrate":[172],"consistently":[175],"outperforms":[176],"video-prediction--based,":[177],"3D-based,":[178],"vision--language--action":[180],"models,":[181],"establishing":[182],"new":[184],"art":[188],"data-efficient":[190],"multi-task":[191]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-07T00:00:00"}
