{"id":"https://openalex.org/W7140683204","doi":"https://doi.org/10.48550/arxiv.2603.24506","title":"Toward Physically Consistent Driving Video World Models under Challenging Trajectories","display_name":"Toward Physically Consistent Driving Video World Models under Challenging Trajectories","publication_year":2026,"publication_date":"2026-03-25","ids":{"openalex":"https://openalex.org/W7140683204","doi":"https://doi.org/10.48550/arxiv.2603.24506"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.24506","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24506","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.2603.24506","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130631173","display_name":"Jiawei Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jiawei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130651699","display_name":"Zhenxin Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Zhenxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101243957","display_name":"Lingyi Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Lingyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130704505","display_name":"Linye Lyu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lyu, Linye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130681139","display_name":"Lijun Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Lijun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076782213","display_name":"Zhanqian Wu","orcid":"https://orcid.org/0000-0002-6556-657X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhanqian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130684810","display_name":"Hongcheng Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Hongcheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130682171","display_name":"Zhuotao Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Zhuotao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130670104","display_name":"Bing Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Bing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130649673","display_name":"Guang Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Guang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130676226","display_name":"Hangjun Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Hangjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130686686","display_name":"Haiyang Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Haiyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130696784","display_name":"Yu Hang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yu","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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.40310001373291016,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.40310001373291016,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2831000089645386,"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":0.07360000163316727,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.6636000275611877},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6394000053405762},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6381999850273132},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5260000228881836},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5091999769210815},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5015000104904175},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.45170000195503235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7003999948501587},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.6636000275611877},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6394000053405762},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6381999850273132},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5091999769210815},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4991999864578247},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37630000710487366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33660000562667847},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30809998512268066},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.28790000081062317},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C151346624","wikidata":"https://www.wikidata.org/wiki/Q5276129","display_name":"Digital pattern generator","level":3,"score":0.26969999074935913},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.26600000262260437}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.24506","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24506","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.2603.24506","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24506","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6555700898170471}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0],"generation":[1],"models":[2,9,36],"have":[3],"shown":[4],"strong":[5,82],"potential":[6],"as":[7,46],"world":[8,70],"for":[10],"autonomous":[11],"driving":[12,22,30,75,117,139,145],"simulation.":[13],"However,":[14],"existing":[15],"approaches":[16],"are":[17],"primarily":[18],"trained":[19],"on":[20,41,192],"real-world":[21,138],"datasets,":[23],"which":[24,152],"mostly":[25],"contain":[26],"natural":[27],"and":[28,60,81,107,176],"safe":[29],"scenarios.":[31],"As":[32],"a":[33,69,93,109,129],"result,":[34],"current":[35],"often":[37],"fail":[38],"when":[39],"conditioned":[40],"challenging":[42,144,193],"or":[43,52],"counterfactual":[44],"trajectories-such":[45],"imperfect":[47],"trajectories":[48],"generated":[49],"by":[50],"simulators":[51],"planning":[53],"systems-producing":[54],"videos":[55,76,118],"with":[56,77],"severe":[57],"physical":[58,83,94],"inconsistencies":[59],"artifacts.":[61],"To":[62,122],"address":[63],"this":[64],"limitation,":[65],"we":[66,127,141,153],"propose":[67],"PhyGenesis,":[68],"model":[71,160],"designed":[72],"to":[73,137,161],"generate":[74,142],"high":[78],"visual":[79],"fidelity":[80],"consistency.":[84],"Our":[85,195],"framework":[86],"consists":[87],"of":[88],"two":[89],"key":[90],"components:":[91],"(1)":[92],"condition":[95],"generator":[96,112],"that":[97,113,157,185],"transforms":[98],"potentially":[99],"invalid":[100],"trajectory":[101,174],"inputs":[102],"into":[103],"physically":[104,163,178],"plausible":[105],"conditions,":[106],"(2)":[108],"physics-enhanced":[110],"video":[111,180],"produces":[114],"high-fidelity":[115],"multi-view":[116],"under":[119,166],"these":[120,125],"conditions.":[121,168],"effectively":[123],"train":[124],"components,":[126],"construct":[128],"large-scale,":[130],"physics-rich":[131],"heterogeneous":[132],"dataset.":[133],"Specifically,":[134],"in":[135],"addition":[136],"videos,":[140],"diverse":[143],"scenarios":[146],"using":[147],"the":[148,159],"CARLA":[149],"simulator,":[150],"from":[151],"derive":[154],"supervision":[155],"signals":[156],"guide":[158],"learn":[162],"grounded":[164],"dynamics":[165],"extreme":[167],"This":[169],"challenging-trajectory":[170],"learning":[171],"strategy":[172],"enables":[173],"correction":[175],"promotes":[177],"consistent":[179],"generation.":[181],"Extensive":[182],"experiments":[183],"demonstrate":[184],"PhyGenesis":[186],"consistently":[187],"outperforms":[188],"state-of-the-art":[189],"methods,":[190],"especially":[191],"trajectories.":[194],"project":[196],"page":[197],"is":[198],"available":[199],"at:":[200],"https://wm-research.github.io/PhyGenesis/.":[201]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-27T00:00:00"}