{"id":"https://openalex.org/W4414928231","doi":"https://doi.org/10.48550/arxiv.2510.02287","title":"MultiModal Action Conditioned Video Generation","display_name":"MultiModal Action Conditioned Video Generation","publication_year":2025,"publication_date":"2025-10-02","ids":{"openalex":"https://openalex.org/W4414928231","doi":"https://doi.org/10.48550/arxiv.2510.02287"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2510.02287","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.02287","pdf_url":"https://arxiv.org/pdf/2510.02287","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.02287","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100426730","display_name":"Yichen Li","orcid":"https://orcid.org/0009-0009-8370-644X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Yichen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5085020955","display_name":"Antonio Torralba","orcid":"https://orcid.org/0000-0003-4915-0256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Torralba, Antonio","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100426730"],"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/T11439","display_name":"Video Analysis and Summarization","score":0.9850000143051147,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9850000143051147,"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":0.9843999743461609,"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":0.9782999753952026,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5266000032424927},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5241000056266785},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5077000260353088},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4596000015735626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45100000500679016},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.44609999656677246},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44029998779296875},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.412200003862381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566999793052673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705000162124634},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5241000056266785},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5077000260353088},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48190000653266907},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.44609999656677246},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.412200003862381},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.3718999922275543},{"id":"https://openalex.org/C161759796","wikidata":"https://www.wikidata.org/wiki/Q3982902","display_name":"Teleoperation","level":3,"score":0.3215999901294708},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3149999976158142},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2809000015258789},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2510.02287","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.02287","pdf_url":"https://arxiv.org/pdf/2510.02287","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.02287","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.02287","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.02287","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.02287","pdf_url":"https://arxiv.org/pdf/2510.02287","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4414928231.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"video":[1],"models":[2],"fail":[3],"as":[4,7],"world":[5],"model":[6],"they":[8],"lack":[9],"fine-graiend":[10],"control.":[11,39],"General-purpose":[12],"household":[13],"robots":[14],"require":[15],"real-time":[16],"fine":[17],"motor":[18],"control":[19],"to":[20,35,61,97],"handle":[21],"delicate":[22],"tasks":[23],"and":[24,48,119,126,132],"urgent":[25],"situations.":[26],"In":[27],"this":[28],"work,":[29],"we":[30,73],"introduce":[31],"fine-grained":[32,56,70],"multimodal":[33,52,114],"actions":[34],"capture":[36],"such":[37],"precise":[38],"We":[40,91],"consider":[41],"senses":[42,53,115],"of":[43,100,134],"proprioception,":[44],"kinesthesia,":[45],"force":[46],"haptics,":[47],"muscle":[49],"activation.":[50],"Such":[51],"naturally":[54],"enables":[55],"interactions":[57],"that":[58,79,112],"are":[59],"difficult":[60],"simulate":[62,69],"with":[63],"text-conditioned":[64],"generative":[65],"models.":[66],"To":[67],"effectively":[68],"multisensory":[71],"actions,":[72],"develop":[74],"a":[75,94],"feature":[76],"learning":[77],"paradigm":[78],"aligns":[80],"these":[81],"modalities":[82],"while":[83],"preserving":[84],"the":[85,101,130],"unique":[86],"information":[87],"each":[88],"modality":[89],"provides.":[90],"further":[92],"propose":[93],"regularization":[95],"scheme":[96],"enhance":[98],"causality":[99],"action":[102],"trajectory":[103],"features":[104],"in":[105],"representing":[106],"intricate":[107],"interaction":[108],"dynamics.":[109],"Experiments":[110],"show":[111],"incorporating":[113],"improves":[116],"simulation":[117],"accuracy":[118],"reduces":[120],"temporal":[121],"drift.":[122],"Extensive":[123],"ablation":[124],"studies":[125],"downstream":[127],"applications":[128],"demonstrate":[129],"effectiveness":[131],"practicality":[133],"our":[135],"work.":[136]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}