{"id":"https://openalex.org/W7138339604","doi":"https://doi.org/10.48550/arxiv.2603.15614","title":"Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion","display_name":"Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138339604","doi":"https://doi.org/10.48550/arxiv.2603.15614"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15614","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15614","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.2603.15614","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129674113","display_name":"Zhenghong Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zhenghong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040988693","display_name":"Xiaohang Zhan","orcid":"https://orcid.org/0000-0003-2136-7592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhan, Xiaohang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101856310","display_name":"Zhiqin Chen","orcid":"https://orcid.org/0000-0001-7835-1618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhiqin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129731049","display_name":"Soo Jin Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Soo Ye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129724732","display_name":"Nanxuan Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Nanxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016267591","display_name":"Haitian Zheng","orcid":"https://orcid.org/0000-0003-0415-1765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Haitian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129692511","display_name":"Qing Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Qing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129674017","display_name":"He Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129661544","display_name":"Zhe Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Zhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128653874","display_name":"Yuqian Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yuqian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129698971","display_name":"Jiebo Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Jiebo","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":0.9240000247955322,"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":0.9240000247955322,"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/T11448","display_name":"Face recognition and analysis","score":0.013100000098347664,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.009800000116229057,"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/motion","display_name":"Motion (physics)","score":0.6643999814987183},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.5730999708175659},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.508400022983551},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4853000044822693},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4805999994277954},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4779999852180481},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.47290000319480896},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.41110000014305115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785999774932861},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.675000011920929},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6643999814987183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6359999775886536},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.5730999708175659},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.508400022983551},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4779999852180481},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.47290000319480896},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4049000144004822},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3467000126838684},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.3181000053882599},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.30250000953674316},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.27070000767707825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15614","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15614","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.2603.15614","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15614","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":{"Recent":[0],"video":[1,28],"diffusion":[2],"models":[3],"have":[4],"made":[5],"remarkable":[6],"strides":[7],"in":[8,56,162,179],"visual":[9,136],"quality,":[10],"yet":[11],"precise,":[12],"fine-grained":[13],"control":[14,33],"remains":[15],"a":[16,75,90,110,131],"key":[17],"bottleneck":[18],"that":[19,97,168],"limits":[20],"practical":[21],"customizability":[22],"for":[23,61,119,126],"content":[24],"creation.":[25],"For":[26],"AI":[27],"creators,":[29],"three":[30],"forms":[31],"of":[32,74,159],"are":[34],"crucial:":[35],"(i)":[36],"scene":[37,99],"composition,":[38,100],"(ii)":[39],"multi-view":[40,62,101,180],"consistent":[41],"subject":[42,63,102,152,181],"customization,":[43],"and":[44,65,93,104,122,135,157,177,185],"(iii)":[45],"camera-pose":[46],"or":[47],"object-motion":[48],"adjustment.":[49],"Existing":[50],"methods":[51],"typically":[52],"handle":[53],"these":[54],"dimensions":[55],"isolation,":[57],"with":[58],"limited":[59],"support":[60,82],"synthesis":[64],"identity":[66],"preservation":[67],"under":[68],"arbitrary":[69],"pose":[70],"changes.":[71],"This":[72],"lack":[73],"unified":[76,91],"architecture":[77],"makes":[78],"it":[79],"difficult":[80],"to":[81],"versatile,":[83],"jointly":[84],"controllable":[85],"video.":[86],"We":[87],"introduce":[88],"Tri-Prompting,":[89],"framework":[92],"two-stage":[94],"training":[95],"paradigm":[96],"integrates":[98],"consistency,":[103,184],"motion":[105,112,186],"control.":[106],"Our":[107],"approach":[108],"leverages":[109],"dual-condition":[111],"module":[113],"driven":[114],"by":[115],"3D":[116,183],"tracking":[117],"points":[118],"background":[120],"scenes":[121,156],"downsampled":[123],"RGB":[124],"cues":[125],"foreground":[127],"subjects.":[128],"To":[129],"ensure":[130],"balance":[132],"between":[133],"controllability":[134],"realism,":[137],"we":[138],"further":[139],"propose":[140],"an":[141,163],"inference":[142],"ControlNet":[143],"scale":[144],"schedule.":[145],"Tri-Prompting":[146,169],"supports":[147],"novel":[148],"workflows,":[149],"including":[150],"3D-aware":[151],"insertion":[153],"into":[154],"any":[155],"manipulation":[158],"existing":[160],"subjects":[161],"image.":[164],"Experimental":[165],"results":[166],"demonstrate":[167],"significantly":[170],"outperforms":[171],"specialized":[172],"baselines":[173],"such":[174],"as":[175],"Phantom":[176],"DaS":[178],"identity,":[182],"accuracy.":[187]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}
