{"id":"https://openalex.org/W4380136355","doi":"https://doi.org/10.48550/arxiv.2306.04988","title":"StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views","display_name":"StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4380136355","doi":"https://doi.org/10.48550/arxiv.2306.04988"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2306.04988","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.04988","pdf_url":"https://arxiv.org/pdf/2306.04988","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.04988","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100849856","display_name":"Jianfei Guo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo, Jianfei","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004152079","display_name":"Nianchen Deng","orcid":"https://orcid.org/0000-0002-5292-266X","observed_orcids":["https://orcid.org/0000-0002-5292-266X"]},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng, Nianchen","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373667","display_name":"Xinyang Li","orcid":"https://orcid.org/0009-0009-1189-9828","observed_orcids":["https://orcid.org/0009-0009-1189-9828","https://orcid.org/0009-0002-6542-5686"]},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li, Xinyang","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102365106","display_name":"Yeqi Bai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai, Yeqi","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058342038","display_name":"Botian Shi","orcid":"https://orcid.org/0000-0003-3677-7252","observed_orcids":["https://orcid.org/0000-0003-3677-7252"]},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi, Botian","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101982501","display_name":"Chiyu Wang","orcid":"https://orcid.org/0000-0002-6296-779X","observed_orcids":["https://orcid.org/0000-0002-6296-779X"]},"institutions":[{"id":"https://openalex.org/I4401727009","display_name":"Sensetime (China)","ror":"https://ror.org/049wsmj07","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401727009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Chiyu","raw_affiliation_strings":["Sensetime Research https :// ventusff.github.io / streetsurf_web"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensetime Research https :// ventusff.github.io / streetsurf_web","institution_ids":["https://openalex.org/I4401727009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005400846","display_name":"Chenjing Ding","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4401727009","display_name":"Sensetime (China)","ror":"https://ror.org/049wsmj07","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401727009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding, Chenjing","raw_affiliation_strings":["Sensetime Research https :// ventusff.github.io / streetsurf_web"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensetime Research https :// ventusff.github.io / streetsurf_web","institution_ids":["https://openalex.org/I4401727009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689761","display_name":"Dongliang Wang","orcid":"https://orcid.org/0000-0003-4713-3516","observed_orcids":["https://orcid.org/0000-0003-4713-3516","https://orcid.org/0000-0002-8586-6932"]},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]},{"id":"https://openalex.org/I4401727009","display_name":"Sensetime (China)","ror":"https://ror.org/049wsmj07","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401727009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Dongliang","raw_affiliation_strings":["Sensetime Research https :// ventusff.github.io / streetsurf_web","Shanghai Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensetime Research https :// ventusff.github.io / streetsurf_web","institution_ids":["https://openalex.org/I4401727009"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100610026","display_name":"Yikang Li","orcid":"https://orcid.org/0000-0002-3076-5982","observed_orcids":["https://orcid.org/0000-0002-3076-5982"]},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li, Yikang","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory","institution_ids":["https://openalex.org/I4391012619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":136,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9883000254631042,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9883000254631042,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.00860000029206276,"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":0.002099999925121665,"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/street-level-imagery","display_name":"street view images","score":0.8510000109672546},{"id":"https://openalex.org/keywords/neural-surface-reconstruction","display_name":"neural surface reconstruction","score":0.6909999847412109},{"id":"https://openalex.org/keywords/geometric-priors","display_name":"geometric priors","score":0.8180000185966492},{"id":"https://openalex.org/keywords/monocular-depth-estimation","display_name":"monocular depth estimation","score":0.7110000252723694},{"id":"https://openalex.org/keywords/ray-marching","display_name":"ray marching","score":0.9079999923706055},{"id":"https://openalex.org/keywords/lidar-simulation","display_name":"lidar simulation","score":0.8659999966621399},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"ray tracing","score":0.8299999833106995},{"id":"https://openalex.org/keywords/autonomous-driving-perception","display_name":"autonomous driving perception","score":0.6539999842643738},{"id":"https://openalex.org/keywords/textureless-regions","display_name":"textureless regions","score":0.6729999780654907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7131731510162354},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6900742650032043},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6428096294403076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6321943402290344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5866789221763611},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.568567156791687},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.517549455165863},{"id":"https://openalex.org/C203527163","wikidata":"https://www.wikidata.org/wiki/Q262959","display_name":"Cuboid","level":2,"score":0.5088003277778625},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4638422131538391},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.41439101099967957},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35550981760025024},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2043839395046234},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15533164143562317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1331612467765808},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2306.04988","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.04988","pdf_url":"https://arxiv.org/pdf/2306.04988","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2306.04988","doi":"https://doi.org/10.48550/arxiv.2306.04988","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2306.04988","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.04988","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.04988","pdf_url":"https://arxiv.org/pdf/2306.04988","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7646999955177307,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G7533693698","display_name":null,"funder_award_id":"22DZ1100102","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380136355.pdf","grobid_xml":"https://content.openalex.org/works/W4380136355.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2229412420","https://openalex.org/W3042719542","https://openalex.org/W3130983693","https://openalex.org/W4210974115","https://openalex.org/W4304732373","https://openalex.org/W4309794388","https://openalex.org/W4322825285","https://openalex.org/W4386072012","https://openalex.org/W4390871701"],"related_works":["https://openalex.org/W4388855928","https://openalex.org/W4405757602","https://openalex.org/W4413147862","https://openalex.org/W4408519819","https://openalex.org/W4393159039","https://openalex.org/W4406192892","https://openalex.org/W3193602888","https://openalex.org/W4415795971","https://openalex.org/W4322825285","https://openalex.org/W4411640177"],"abstract_inverted_index":{"We":[0,122],"present":[1],"a":[2,213],"novel":[3,58],"multi-view":[4,82],"implicit":[5,83,228],"surface":[6,84,98],"reconstruction":[7,99,196],"technique,":[8],"termed":[9],"StreetSurf,":[10],"that":[11,112,170,225],"is":[12],"readily":[13],"applicable":[14],"to":[15,46,101,206],"street":[16,42,52,110,219],"view":[17,59,220],"images":[18],"in":[19,198],"widely-used":[20],"autonomous":[21],"driving":[22],"datasets,":[23],"such":[24],"as":[25],"Waymo-perception":[26],"sequences,":[27],"without":[28,89],"necessarily":[29],"requiring":[30],"LiDAR":[31,73,90,241],"data.":[32,91],"As":[33],"neural":[34,97],"rendering":[35],"research":[36],"expands":[37],"rapidly,":[38],"its":[39],"integration":[40],"into":[41,127],"views":[43,53,111],"has":[44],"started":[45],"draw":[47],"interests.":[48],"Existing":[49],"approaches":[50],"on":[51,57,71],"either":[54],"mainly":[55],"focus":[56],"synthesis":[60],"with":[61,115,134,143,179,212],"little":[62],"exploration":[63],"of":[64,79,182,193,209],"the":[65,103,108,124,155,194,226],"scene":[66],"geometry,":[67],"or":[68],"rely":[69],"heavily":[70],"dense":[72],"data":[74],"when":[75],"investigating":[76],"reconstruction.":[77],"Neither":[78],"them":[80],"investigates":[81],"reconstruction,":[85],"especially":[86],"under":[87],"settings":[88],"Our":[92],"method":[93],"extends":[94],"prior":[95],"object-centric":[96],"techniques":[100],"address":[102,154],"unique":[104],"challenges":[105],"posed":[106],"by":[107],"unbounded":[109,125],"are":[113,171],"captured":[114],"non-object-centric,":[116],"long":[117],"and":[118,132,138,149,162,184,201,240],"narrow":[119],"camera":[120],"trajectories.":[121],"delimit":[123],"space":[126],"three":[128],"parts,":[129],"close-range,":[130],"distant-view":[131],"sky,":[133],"aligned":[135],"cuboid":[136],"boundaries,":[137],"adapt":[139],"cuboid/hyper-cuboid":[140],"hash-grids":[141],"along":[142],"road-surface":[144],"initialization":[145],"scheme":[146],"for":[147,217,233],"finer":[148],"disentangled":[150],"representation.":[151],"To":[152],"further":[153],"geometric":[156,168],"errors":[157],"arising":[158],"from":[159],"textureless":[160],"regions":[161],"insufficient":[163],"viewing":[164],"angles,":[165],"we":[166,190,223],"adopt":[167],"priors":[169],"estimated":[172],"using":[173],"general":[174],"purpose":[175],"monocular":[176],"models.":[177],"Coupled":[178],"our":[180],"implementation":[181],"efficient":[183],"fine-grained":[185],"multi-stage":[186],"ray":[187,238],"marching":[188],"strategy,":[189],"achieve":[191],"state":[192],"art":[195],"quality":[197],"both":[199],"geometry":[200],"appearance":[202],"within":[203],"only":[204],"one":[205],"two":[207],"hours":[208],"training":[210],"time":[211],"single":[214],"RTX3090":[215],"GPU":[216],"each":[218],"sequence.":[221],"Furthermore,":[222],"demonstrate":[224],"reconstructed":[227],"surfaces":[229],"have":[230],"rich":[231],"potential":[232],"various":[234],"downstream":[235],"tasks,":[236],"including":[237],"tracing":[239],"simulation.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":32},{"year":2025,"cited_by_count":53},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":4}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-06-10T00:00:00"}
