{"id":"https://openalex.org/W7135223629","doi":"https://doi.org/10.48550/arxiv.2603.11534","title":"Risk-Controllable Multi-View Diffusion for Driving Scenario Generation","display_name":"Risk-Controllable Multi-View Diffusion for Driving Scenario Generation","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135223629","doi":"https://doi.org/10.48550/arxiv.2603.11534"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.11534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11534","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.11534","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101236348","display_name":"Hongyi Lin","orcid":"https://orcid.org/0000-0002-9155-7781"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lin, Hongyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129036864","display_name":"Wenxiu Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Wenxiu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042865025","display_name":"Heye Huang","orcid":"https://orcid.org/0000-0002-8964-8764"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Heye","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129057623","display_name":"Dingyi Zhuang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuang, Dingyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128934193","display_name":"Song Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Song","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129075151","display_name":"Yang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062309027","display_name":"Xiaobo Qu","orcid":"https://orcid.org/0000-0002-8675-5820"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qu, Xiaobo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023905102","display_name":"Jinhua Zhao","orcid":"https://orcid.org/0000-0002-1929-7583"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Jinhua","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101236348"],"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":0.565500020980835,"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":0.565500020980835,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.06750000268220901,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.05730000138282776,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5979999899864197},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5907999873161316},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5659999847412109},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5340999960899353},{"id":"https://openalex.org/keywords/toolchain","display_name":"Toolchain","score":0.5192999839782715},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.498199999332428},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.439300000667572},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.33340001106262207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077000141143799},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5979999899864197},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5907999873161316},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5659999847412109},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5340999960899353},{"id":"https://openalex.org/C2777062904","wikidata":"https://www.wikidata.org/wiki/Q545406","display_name":"Toolchain","level":3,"score":0.5192999839782715},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46459999680519104},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.439300000667572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39309999346733093},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.33340001106262207},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28769999742507935},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.11534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11534","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":"doi:10.48550/arxiv.2603.11534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11534","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":"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":{"Generating":[0],"safety-critical":[1],"driving":[2,11,49],"scenarios":[3,140],"is":[4],"crucial":[5],"for":[6,59,88,179],"evaluating":[7],"and":[8,23,41,56,78,97,106,154],"improving":[9,146],"autonomous":[10],"systems,":[12],"but":[13],"long-tail":[14,139],"risky":[15],"situations":[16],"are":[17],"rarely":[18],"observed":[19],"in":[20,47],"real-world":[21],"data":[22],"difficult":[24],"to":[25,43,117,152,157,171],"specify":[26],"through":[27],"manual":[28],"scenario":[29,63],"design.":[30],"Existing":[31],"generative":[32],"approaches":[33],"typically":[34],"treat":[35],"risk":[36,68,72],"as":[37,84],"an":[38],"after-the-fact":[39],"label":[40],"struggle":[42],"maintain":[44],"geometric":[45,86,98],"consistency":[46],"multi-view":[48,62],"scenes.":[50],"We":[51],"present":[52],"RiskMV-DPO,":[53],"a":[54,89,102,107,134,176],"general":[55],"systematic":[57],"pipeline":[58],"physically-informed,":[60],"risk-controllable":[61,173],"generation.":[64],"By":[65],"integrating":[66],"target":[67],"levels":[69],"with":[70,114],"physically-grounded":[71],"modeling,":[73],"we":[74,100],"autonomously":[75],"synthesize":[76],"diverse":[77,138],"high-stakes":[79],"dynamic":[80,122],"trajectories":[81],"that":[82,129],"serve":[83],"explicit":[85],"anchors":[87],"diffusion-based":[90],"video":[91],"generator.":[92],"To":[93],"ensure":[94],"spatial-temporal":[95],"coherence":[96],"fidelity,":[99],"introduce":[101],"geometry-appearance":[103],"alignment":[104],"module":[105],"region-aware":[108],"direct":[109],"preference":[110],"optimization":[111],"(RA-DPO)":[112],"strategy":[113],"motion-aware":[115],"masking":[116],"focus":[118],"learning":[119],"on":[120,124],"localized":[121],"regions.Experiments":[123],"the":[125,162,180],"nuScenes":[126],"dataset":[127],"show":[128],"RiskMV-DPO":[130],"can":[131],"freely":[132],"generate":[133],"wide":[135],"spectrum":[136],"of":[137,164,183],"while":[141],"maintaining":[142],"state-of-the-art":[143],"visual":[144],"quality,":[145],"3D":[147],"detection":[148],"mAP":[149],"from":[150,167],"18.17":[151],"30.50":[153],"reducing":[155],"FID":[156],"15.70.":[158],"Our":[159],"work":[160],"shifts":[161],"role":[163],"world":[165],"models":[166],"passive":[168],"environment":[169],"prediction":[170],"proactive,":[172],"synthesis,":[174],"providing":[175],"scalable":[177],"toolchain":[178],"safety-oriented":[181],"development":[182],"embodied":[184],"intelligence.":[185]},"counts_by_year":[],"updated_date":"2026-03-14T06:46:50.379900","created_date":"2026-03-14T00:00:00"}
