{"id":"https://openalex.org/W7164897156","doi":"https://doi.org/10.48550/arxiv.2606.16278","title":"RealityBridge: Bridging Editable 3D Gaussian Splatting Driving Simulations and Real-World Videos","display_name":"RealityBridge: Bridging Editable 3D Gaussian Splatting Driving Simulations and Real-World Videos","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164897156","doi":"https://doi.org/10.48550/arxiv.2606.16278"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.16278","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16278","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.2606.16278","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100611600","display_name":"Zhenhua Wu","orcid":"https://orcid.org/0000-0003-4552-883X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhenhua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063368564","display_name":"Yun Pang","orcid":"https://orcid.org/0000-0002-7144-646X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pang, Yun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138744264","display_name":"Mingkun Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Mingkun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108381212","display_name":"Y Ning","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning, Yuwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138752027","display_name":"Liangzhi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Liangzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133363812","display_name":"Y H Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138757860","display_name":"Guanbin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Guanbin","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":0.824999988079071,"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":0.824999988079071,"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/T11019","display_name":"Image Enhancement Techniques","score":0.03139999881386757,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.020999999716877937,"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/bridging","display_name":"Bridging (networking)","score":0.7146000266075134},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5582000017166138},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4244999885559082},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.3804999887943268},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.3407999873161316},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.3395000100135803},{"id":"https://openalex.org/keywords/real-time-rendering","display_name":"Real-time rendering","score":0.3192000091075897},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.2890999913215637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8687000274658203},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7146000266075134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6430000066757202},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.586899995803833},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5582000017166138},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4244999885559082},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.3804999887943268},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.3192000091075897},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.2890999913215637},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.28519999980926514},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.2581000030040741},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.16278","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16278","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.2606.16278","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16278","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":0.6954418420791626}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Long-tail":[0],"hazardous":[1],"scenarios":[2],"are":[3,11,67],"essential":[4],"for":[5,69,101,125],"safety-oriented":[6],"autonomous":[7],"driving,":[8],"yet":[9],"they":[10,73],"difficult":[12],"to":[13,76,146],"collect":[14],"and":[15,34,58,63,84,97,117,138,152,159,174],"reproduce":[16],"at":[17],"scale.":[18],"Editable":[19],"3D":[20],"Gaussian":[21],"Splatting":[22],"(3DGS)":[23],"simulation":[24],"offers":[25],"a":[26,46,95,122],"promising":[27],"alternative":[28],"by":[29],"reconstructing":[30],"real":[31],"driving":[32,104,161],"scenes":[33],"supporting":[35],"controllable":[36],"scene":[37],"editing.":[38],"However,":[39],"edited":[40,102],"3DGS-rendered":[41],"videos":[42],"still":[43],"suffer":[44],"from":[45],"significant":[47],"Sim-to-Real":[48,99],"gap,":[49,91],"including":[50,110],"rendering":[51],"artifacts,":[52,80],"degraded":[53],"foreground":[54,113],"assets,":[55],"inconsistent":[56],"illumination,":[57],"temporal":[59,86,150,176],"flickering.":[60],"Existing":[61],"restoration":[62,148],"video":[64],"generation":[65],"methods":[66,168],"insufficient":[68],"this":[70,90],"task,":[71],"as":[72],"often":[74],"fail":[75],"jointly":[77],"repair":[78],"3DGS-specific":[79],"improve":[81,147],"visual":[82],"realism,":[83],"ensure":[85],"consistency.":[87,177],"To":[88],"fill":[89],"we":[92],"propose":[93],"RealityBridge,":[94],"structure-preserving":[96],"asset-aware":[98],"framework":[100],"3DGS":[103],"videos.":[105],"RealityBridge":[106,165],"uses":[107],"multimodal":[108],"controls,":[109],"rendered":[111],"videos,":[112],"masks,":[114,119],"edge":[115],"maps,":[116],"semantic":[118],"together":[120],"with":[121,143],"lightweight":[123],"GateNet":[124],"adaptive":[126],"condition":[127],"allocation":[128],"across":[129],"backbone":[130],"layers.":[131],"We":[132],"further":[133],"construct":[134],"targeted":[135],"training":[136,142],"data":[137],"introduce":[139],"autoregressive":[140],"long-video":[141],"reward-guided":[144],"post-training":[145],"quality,":[149],"stability,":[151],"hallucination":[153],"suppression.":[154],"Extensive":[155],"experiments":[156],"on":[157],"internal":[158],"public":[160],"datasets":[162],"show":[163],"that":[164],"outperforms":[166],"existing":[167],"in":[169],"artifact":[170],"removal,":[171],"illumination":[172],"harmonization,":[173],"long-sequence":[175]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-17T00:00:00"}