{"id":"https://openalex.org/W3175727500","doi":"https://doi.org/10.1109/cvpr46437.2021.00715","title":"GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving","display_name":"GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3175727500","doi":"https://doi.org/10.1109/cvpr46437.2021.00715","mag":"3175727500"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr46437.2021.00715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr46437.2021.00715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100416519","display_name":"Yun Chen","orcid":"https://orcid.org/0000-0001-6917-7814"},"institutions":[{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yun Chen","raw_affiliation_strings":["Uber Advanced Technologies Group"],"affiliations":[{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050798856","display_name":"Frieda Rong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frieda Rong","raw_affiliation_strings":["Stanford University","Uber Advanced Technologies Group"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032382984","display_name":"Shivam Duggal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shivam Duggal","raw_affiliation_strings":["Uber Advanced Technologies Group"],"affiliations":[{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022810135","display_name":"Shenlong Wang","orcid":"https://orcid.org/0000-0001-6670-4412"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Shenlong Wang","raw_affiliation_strings":["Uber Advanced Technologies Group","University of Toronto"],"affiliations":[{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]},{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052854215","display_name":"Xinchen Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinchen Yan","raw_affiliation_strings":["Uber Advanced Technologies Group"],"affiliations":[{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010890057","display_name":"Sivabalan Manivasagam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Sivabalan Manivasagam","raw_affiliation_strings":["Uber Advanced Technologies Group","University of Toronto"],"affiliations":[{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]},{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082008151","display_name":"Shangjie Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shangjie Xue","raw_affiliation_strings":["Massachusetts Institute of Techonology","Uber Advanced Technologies Group"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Techonology","institution_ids":[]},{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028817790","display_name":"Ersin Yumer","orcid":"https://orcid.org/0000-0002-3245-5515"},"institutions":[{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ersin Yumer","raw_affiliation_strings":["Uber Advanced Technologies Group"],"affiliations":[{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058557954","display_name":"Raquel Urtasun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123843","display_name":"Advanced Technologies Group (United States)","ror":"https://ror.org/0359sgh16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210123843"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Raquel Urtasun","raw_affiliation_strings":["Uber Advanced Technologies Group","University of Toronto"],"affiliations":[{"raw_affiliation_string":"Uber Advanced Technologies Group","institution_ids":["https://openalex.org/I4210123843"]},{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100416519"],"corresponding_institution_ids":["https://openalex.org/I4210123843"],"apc_list":null,"apc_paid":null,"fwci":27.7765,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.99791304,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7226","last_page":"7236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.787155270576477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.585620105266571},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.583430290222168},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49099424481391907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4714820384979248},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46674850583076477},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.43288683891296387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4294247031211853},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41483980417251587},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4105261564254761},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12307661771774292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787155270576477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.585620105266571},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.583430290222168},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49099424481391907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4714820384979248},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46674850583076477},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.43288683891296387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4294247031211853},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41483980417251587},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4105261564254761},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12307661771774292},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr46437.2021.00715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr46437.2021.00715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":123,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W2003537776","https://openalex.org/W2043422482","https://openalex.org/W2069088802","https://openalex.org/W2115579991","https://openalex.org/W2298992465","https://openalex.org/W2331128040","https://openalex.org/W2348664362","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2557414982","https://openalex.org/W2560023338","https://openalex.org/W2560609797","https://openalex.org/W2579607368","https://openalex.org/W2598591334","https://openalex.org/W2630837129","https://openalex.org/W2743627947","https://openalex.org/W2771506457","https://openalex.org/W2772390515","https://openalex.org/W2776202271","https://openalex.org/W2794080999","https://openalex.org/W2799123546","https://openalex.org/W2883907768","https://openalex.org/W2888039002","https://openalex.org/W2889582485","https://openalex.org/W2889837429","https://openalex.org/W2895191479","https://openalex.org/W2901982540","https://openalex.org/W2907896140","https://openalex.org/W2912798476","https://openalex.org/W2922402504","https://openalex.org/W2936459520","https://openalex.org/W2939873304","https://openalex.org/W2951286740","https://openalex.org/W2951880955","https://openalex.org/W2953127211","https://openalex.org/W2955189650","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962899390","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963184176","https://openalex.org/W2963271314","https://openalex.org/W2963274939","https://openalex.org/W2963522749","https://openalex.org/W2963539305","https://openalex.org/W2963800363","https://openalex.org/W2963841322","https://openalex.org/W2963850211","https://openalex.org/W2963981733","https://openalex.org/W2964082390","https://openalex.org/W2964216930","https://openalex.org/W2964472976","https://openalex.org/W2970086547","https://openalex.org/W2979791938","https://openalex.org/W2982763192","https://openalex.org/W2982966540","https://openalex.org/W2984529706","https://openalex.org/W2990173985","https://openalex.org/W2992464978","https://openalex.org/W2996520109","https://openalex.org/W2999862950","https://openalex.org/W3004335748","https://openalex.org/W3009928773","https://openalex.org/W3022466818","https://openalex.org/W3028806953","https://openalex.org/W3034258046","https://openalex.org/W3034264193","https://openalex.org/W3034684802","https://openalex.org/W3034716600","https://openalex.org/W3034782805","https://openalex.org/W3035172746","https://openalex.org/W3035358681","https://openalex.org/W3035574168","https://openalex.org/W3039384219","https://openalex.org/W3043139608","https://openalex.org/W3093170800","https://openalex.org/W3093288749","https://openalex.org/W3105675572","https://openalex.org/W3108688141","https://openalex.org/W3110422536","https://openalex.org/W3121147178","https://openalex.org/W3181350748","https://openalex.org/W4229523108","https://openalex.org/W4229783421","https://openalex.org/W4229844323","https://openalex.org/W4255749368","https://openalex.org/W4289129513","https://openalex.org/W4293566037","https://openalex.org/W4295719664","https://openalex.org/W4297728751","https://openalex.org/W4301206121","https://openalex.org/W6618372016","https://openalex.org/W6697565712","https://openalex.org/W6702130928","https://openalex.org/W6730152530","https://openalex.org/W6739696289","https://openalex.org/W6745935785","https://openalex.org/W6746316224","https://openalex.org/W6746408764","https://openalex.org/W6747106673","https://openalex.org/W6747400857","https://openalex.org/W6752817829","https://openalex.org/W6753914649","https://openalex.org/W6754120247","https://openalex.org/W6754259245","https://openalex.org/W6758276651","https://openalex.org/W6760782946","https://openalex.org/W6761435541","https://openalex.org/W6761540984","https://openalex.org/W6763422710","https://openalex.org/W6764654403","https://openalex.org/W6765779288","https://openalex.org/W6765978013","https://openalex.org/W6767467511","https://openalex.org/W6774882191","https://openalex.org/W6778275451","https://openalex.org/W6780399172","https://openalex.org/W6780973326","https://openalex.org/W6784133018","https://openalex.org/W6784604412","https://openalex.org/W6841426843"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Scalable":[0],"sensor":[1,96],"simulation":[2,20,167],"is":[3],"an":[4],"important":[5,162],"yet":[6],"challenging":[7],"open":[8],"problem":[9],"for":[10,176,186],"safety-critical":[11],"domains":[12],"such":[13,161],"as":[14],"self-driving.":[15],"Current":[16],"works":[17],"in":[18],"image":[19,52,137],"either":[21],"fail":[22],"to":[23,152,154],"be":[24],"photorealistic":[25],"or":[26],"do":[27],"not":[28],"model":[29],"the":[30,34,127,135],"3D":[31,87],"environment":[32],"and":[33,41,72,93,111,130,133,146,172],"dynamic":[35,66,124],"objects":[36,67,88,125],"within,":[37],"losing":[38],"high-level":[39],"control":[40],"physical":[42],"realism.":[43],"In":[44],"this":[45,78],"paper,":[46],"we":[47,80,100],"present":[48],"GeoSim,":[49],"a":[50,83,102,116],"geometry-aware":[51,104],"composition":[53],"process":[54],"which":[55,107],"synthesizes":[56],"novel":[57,75,103,121],"urban":[58],"driving":[59],"scenarios":[60],"by":[61],"augmenting":[62],"existing":[63],"images":[64,142],"with":[65,89],"extracted":[68],"from":[69,95,126],"other":[70],"scenes":[71],"rendered":[73,136],"at":[74],"poses.":[76],"Towards":[77],"goal,":[79],"first":[81],"build":[82],"diverse":[84],"bank":[85],"of":[86,123],"both":[90],"realistic":[91,112,165],"geometry":[92],"appearance":[94],"data.":[97],"During":[98],"simulation,":[99],"perform":[101],"simulation-by-composition":[105],"procedure":[106],"1)":[108],"proposes":[109],"plausible":[110],"object":[113],"placements":[114],"into":[115],"given":[117],"scene,":[118],"2)":[119],"renders":[120],"views":[122],"asset":[128],"bank,":[129],"3)":[131],"composes":[132],"blends":[134],"segments.":[138],"The":[139],"resulting":[140],"synthetic":[141,173],"are":[143],"realistic,":[144],"traffic-aware,":[145],"geometrically":[147],"consistent,":[148],"allowing":[149],"our":[150],"approach":[151],"scale":[153],"complex":[155],"use":[156],"cases.":[157],"We":[158],"demonstrate":[159],"two":[160],"applications:":[163],"long-range":[164],"video":[166,188],"across":[168],"multiple":[169],"camera":[170],"sensors,":[171],"data":[174,177],"generation":[175],"augmentation":[178],"on":[179],"downstream":[180],"segmentation":[181],"tasks.":[182],"Please":[183],"check":[184],"https://tmux.top/publication/geosim/":[185],"high-resolution":[187],"results.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
