{"id":"https://openalex.org/W7128633221","doi":"https://doi.org/10.48550/arxiv.2602.10095","title":"Causality in Video Diffusers is Separable from Denoising","display_name":"Causality in Video Diffusers is Separable from Denoising","publication_year":2026,"publication_date":"2026-02-10","ids":{"openalex":"https://openalex.org/W7128633221","doi":"https://doi.org/10.48550/arxiv.2602.10095"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.10095","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125642644","display_name":"Xingjian Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Xingjian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124942354","display_name":"Guande He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Guande","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125638845","display_name":"Zhengqi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhengqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024777042","display_name":"Eli Shechtman","orcid":"https://orcid.org/0000-0002-6783-1795"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shechtman, Eli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125648678","display_name":"Xun Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Xun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125643492","display_name":"Zongze Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zongze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.6496999859809875,"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":0.6496999859809875,"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/T11431","display_name":"Action Observation and Synchronization","score":0.0414000004529953,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.027799999341368675,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5730000138282776},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.47679999470710754},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.46320000290870667},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42879998683929443},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41190001368522644},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3912000060081482},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.38420000672340393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5932000279426575},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5730000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515000224113464},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41190001368522644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40709999203681946},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.38420000672340393},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.32089999318122864},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.289900004863739},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2741999924182892}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.10095","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.10095","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.10095","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":"pmh:doi:10.48550/arxiv.2602.10095","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","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":{"Causality":[0],"--":[1,10],"referring":[2],"to":[3],"temporal,":[4],"uni-directional":[5],"cause-effect":[6],"relationships":[7],"between":[8],"components":[9],"underlies":[11],"many":[12],"complex":[13],"generative":[14],"processes,":[15],"including":[16],"videos,":[17],"language,":[18],"and":[19,42,95,103,146,151,160],"robot":[20],"trajectories.":[21],"Current":[22],"causal":[23,33,54,129,172],"diffusion":[24,93,139,173],"models":[25,58],"entangle":[26],"temporal":[27,125],"reasoning":[28,55],"with":[29],"iterative":[30],"denoising,":[31],"applying":[32],"attention":[34,102],"across":[35,85,149],"all":[36],"layers,":[37],"at":[38],"every":[39],"denoising":[40,64,86],"step,":[41],"over":[43],"the":[44,53,62,92,167],"entire":[45],"context.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,73,112],"show":[51,154],"that":[52,121,155],"in":[56],"these":[57,110],"is":[59],"separable":[60],"from":[61,132],"multi-step":[63,133],"process.":[65],"Through":[66],"systematic":[67],"probing":[68],"of":[69,170],"autoregressive":[70],"video":[71],"diffusers,":[72],"uncover":[74],"two":[75],"key":[76],"regularities:":[77],"(1)":[78],"early":[79],"layers":[80,98],"produce":[81],"highly":[82],"similar":[83],"features":[84],"steps,":[87],"indicating":[88],"redundant":[89],"computation":[90],"along":[91],"trajectory;":[94],"(2)":[96],"deeper":[97],"exhibit":[99],"sparse":[100],"cross-frame":[101],"primarily":[104],"perform":[105],"intra-frame":[106],"rendering.":[107],"Motivated":[108],"by":[109],"findings,":[111],"introduce":[113],"Separable":[114],"Causal":[115],"Diffusion":[116],"(SCD),":[117],"a":[118,128,137],"new":[119],"architecture":[120],"explicitly":[122],"decouples":[123],"once-per-frame":[124],"reasoning,":[126],"via":[127,136],"transformer":[130],"encoder,":[131],"frame-wise":[134],"rendering,":[135],"lightweight":[138],"decoder.":[140],"Extensive":[141],"experiments":[142],"on":[143],"both":[144],"pretraining":[145],"post-training":[147],"tasks":[148],"synthetic":[150],"real":[152],"benchmarks":[153],"SCD":[156],"significantly":[157],"improves":[158],"throughput":[159],"per-frame":[161],"latency":[162],"while":[163],"matching":[164],"or":[165],"surpassing":[166],"generation":[168],"quality":[169],"strong":[171],"baselines.":[174]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-12T00:00:00"}