{"id":"https://openalex.org/W7166824423","doi":"https://doi.org/10.48550/arxiv.2606.31918","title":"DriveWeaver: Point-Conditioned Video Inpainting for Controllable Vehicle Insertion in Autonomous Driving Simulation","display_name":"DriveWeaver: Point-Conditioned Video Inpainting for Controllable Vehicle Insertion in Autonomous Driving Simulation","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7166824423","doi":"https://doi.org/10.48550/arxiv.2606.31918"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.31918","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.31918","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":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.2606.31918","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139836598","display_name":"Junzhe Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Junzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045551424","display_name":"\u9ebb\u6ecb\u6c9b","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zipei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027581588","display_name":"Zijie Pan","orcid":"https://orcid.org/0000-0002-7644-1334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Zijie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139739599","display_name":"Li Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Li","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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.3555999994277954,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.3555999994277954,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.23980000615119934,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.15129999816417694,"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/inpainting","display_name":"Inpainting","score":0.7775999903678894},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5647000074386597},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5141000151634216},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.49970000982284546},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46209999918937683},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4528000056743622},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.39430001378059387}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7775999903678894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7391999959945679},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.696399986743927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6704000234603882},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5647000074386597},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5141000151634216},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.49970000982284546},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4528000056743622},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2849000096321106},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.31918","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.31918","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.31918","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.31918","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.818027138710022}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"pivotal":[1],"step":[2],"in":[3,84,189],"autonomous":[4,34,85,174,201],"driving":[5,35,86,175,202],"simulation":[6],"involves":[7],"inserting":[8],"foreground":[9,55,118],"vehicles":[10,163],"with":[11],"predefined":[12],"trajectories":[13],"into":[14],"simulated":[15],"scenes.":[16],"This":[17,110],"process":[18],"enhances":[19],"scene":[20,203],"diversity":[21],"and":[22,32,56,119,147,192],"facilitates":[23],"the":[24,53,57,60,117,122,144,150,161],"creation":[25],"of":[26,149,160],"various":[27],"corner":[28],"cases":[29],"for":[30,80,89,173,199],"testing":[31],"improving":[33],"models.":[36],"However,":[37],"existing":[38,187],"methods":[39],"often":[40],"rely":[41],"on":[42,62,100],"pre-reconstructed":[43],"3D":[44,65,157],"assets,":[45],"which":[46],"frequently":[47],"lead":[48],"to":[49,104,169],"lighting":[50],"inconsistencies":[51],"between":[52,116],"inserted":[54,151,162],"background.":[58],"Moreover,":[59],"reliance":[61],"limited,":[63],"manually-curated":[64],"assets":[66],"hinders":[67],"large-scale":[68],"deployment.":[69],"To":[70,131],"address":[71],"these":[72],"challenges,":[73],"we":[74,135,154],"propose":[75],"DriveWeaver,":[76],"a":[77,90,138,196],"novel":[78],"framework":[79],"controllable":[81],"vehicle":[82,101],"insertion":[83,93],"simulation.":[87,176],"Specifically,":[88],"masked":[91],"target":[92],"area,":[94],"DriveWeaver":[95],"performs":[96],"video":[97],"inpainting":[98,141],"conditioned":[99],"point":[102,125],"clouds":[103],"generate":[105],"high-quality,":[106],"temporally":[107],"consistent":[108,145],"vehicles.":[109,152],"video-inpainting-based":[111],"approach":[112],"ensures":[113],"seamless":[114],"blending":[115],"background,":[120],"while":[121],"readily":[123],"available":[124],"cloud":[126],"conditions":[127],"enable":[128,170],"superior":[129],"generalization.":[130],"support":[132],"long-term":[133],"generation,":[134],"further":[136],"design":[137],"global-to-local":[139],"hierarchical":[140],"strategy,":[142],"ensuring":[143],"identity":[146],"appearance":[148],"Meanwhile,":[153],"extract":[155],"explicit":[156],"Gaussian":[158],"representations":[159],"through":[164],"an":[165],"urban":[166],"reconstruction":[167],"pipeline":[168],"real-time":[171],"rendering":[172],"Extensive":[177],"experiments":[178],"across":[179],"diverse":[180],"datasets":[181],"demonstrate":[182],"that":[183],"our":[184],"method":[185],"outperforms":[186],"baselines":[188],"visual":[190],"realism":[191],"geometric":[193],"consistency,":[194],"providing":[195],"robust":[197],"tool":[198],"scalable":[200],"augmentation.":[204]},"counts_by_year":[],"updated_date":"2026-07-02T06:18:51.028212","created_date":"2026-07-02T00:00:00"}