{"id":"https://openalex.org/W3215926197","doi":"https://doi.org/10.1109/cvpr52688.2022.00613","title":"Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations","display_name":"Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W3215926197","doi":"https://doi.org/10.1109/cvpr52688.2022.00613","mag":"3215926197"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52688.2022.00613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.00613","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5014641975","display_name":"Mehdi S. M. Sajjadi","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mehdi S.M. Sajjadi","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006883893","display_name":"Henning Meyer","orcid":"https://orcid.org/0000-0003-1202-2912"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henning Meyer","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073099731","display_name":"Etienne Pot","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Etienne Pot","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111438774","display_name":"Urs Bergmann","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Urs Bergmann","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082808731","display_name":"Klaus Greff","orcid":"https://orcid.org/0000-0001-6982-0937"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Klaus Greff","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008517143","display_name":"Noha Radwan","orcid":"https://orcid.org/0000-0003-1405-845X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noha Radwan","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083134461","display_name":"Suhani Vora","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suhani Vora","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044677020","display_name":"Mario Lu\u010di\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mario Lucic","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018358657","display_name":"Daniel Duckworth","orcid":"https://orcid.org/0009-0002-8716-5934"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Duckworth","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090113830","display_name":"Alexey Dosovitskiy","orcid":"https://orcid.org/0000-0003-1851-0976"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexey Dosovitskiy","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022416424","display_name":"Jakob Uszkoreit","orcid":"https://orcid.org/0000-0001-5066-7530"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jakob Uszkoreit","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016776229","display_name":"Thomas Funkhouser","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Funkhouser","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037094498","display_name":"Andrea Tagliasacchi","orcid":"https://orcid.org/0000-0002-2209-7187"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andrea Tagliasacchi","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5014641975"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":5.7343,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.96905607,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6219","last_page":"6228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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":0.7782343626022339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6777088046073914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6292394399642944},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5012013912200928},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4741334915161133},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47014573216438293},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.41833069920539856},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4162079691886902},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.31026890873908997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782343626022339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6777088046073914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6292394399642944},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5012013912200928},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4741334915161133},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47014573216438293},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.41833069920539856},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4162079691886902},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.31026890873908997},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52688.2022.00613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.00613","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2076159989","https://openalex.org/W2099471712","https://openalex.org/W2127310338","https://openalex.org/W2131554708","https://openalex.org/W2133665775","https://openalex.org/W2163446794","https://openalex.org/W2200825767","https://openalex.org/W2471962767","https://openalex.org/W2516534209","https://openalex.org/W2783879794","https://openalex.org/W2808492412","https://openalex.org/W2899663614","https://openalex.org/W2913435784","https://openalex.org/W2936814033","https://openalex.org/W2949825757","https://openalex.org/W2962785568","https://openalex.org/W2962853753","https://openalex.org/W2963037581","https://openalex.org/W2963403868","https://openalex.org/W2963527086","https://openalex.org/W2963557767","https://openalex.org/W2963946945","https://openalex.org/W2964121744","https://openalex.org/W2971278627","https://openalex.org/W2990173985","https://openalex.org/W3034968345","https://openalex.org/W3043139608","https://openalex.org/W3094502228","https://openalex.org/W3109585842","https://openalex.org/W3119786062","https://openalex.org/W3119997354","https://openalex.org/W3131986035","https://openalex.org/W3136656704","https://openalex.org/W3171227006","https://openalex.org/W3176368002","https://openalex.org/W3177583232","https://openalex.org/W3180355996","https://openalex.org/W3186630079","https://openalex.org/W3202511134","https://openalex.org/W3202753943","https://openalex.org/W3202995573","https://openalex.org/W3203570626","https://openalex.org/W3203583526","https://openalex.org/W3203616647","https://openalex.org/W3203806429","https://openalex.org/W3203892203","https://openalex.org/W3204538532","https://openalex.org/W3204752575","https://openalex.org/W3204859697","https://openalex.org/W3211563025","https://openalex.org/W3214712237","https://openalex.org/W4206706211","https://openalex.org/W4214520160","https://openalex.org/W4214564845","https://openalex.org/W4214564891","https://openalex.org/W4214610961","https://openalex.org/W4214628039","https://openalex.org/W4214661523","https://openalex.org/W4214755140","https://openalex.org/W4287125364","https://openalex.org/W4312339971","https://openalex.org/W4385245566","https://openalex.org/W4394671432","https://openalex.org/W6631190155","https://openalex.org/W6679389954","https://openalex.org/W6739901393","https://openalex.org/W6750106230","https://openalex.org/W6763480078","https://openalex.org/W6774631009","https://openalex.org/W6784333009","https://openalex.org/W6788556936","https://openalex.org/W6792571853","https://openalex.org/W6793686416","https://openalex.org/W6796413303"],"related_works":["https://openalex.org/W2611780867","https://openalex.org/W2731344982","https://openalex.org/W2068608913","https://openalex.org/W3104631102","https://openalex.org/W3124914020","https://openalex.org/W1491099440","https://openalex.org/W3206964005","https://openalex.org/W4226100462","https://openalex.org/W2991262107","https://openalex.org/W3035116386"],"abstract_inverted_index":{"A":[0],"classical":[1],"problem":[2],"in":[3,95,161],"computer":[4],"vision":[5],"is":[6,144],"to":[7,20,113,139,184],"infer":[8],"a":[9,71,81,85,96,107,149,171],"3D":[10,33,123],"scene":[11,87,103,137],"representation":[12,88,138],"from":[13],"few":[14],"images":[15,48,79],"that":[16,155,181],"can":[17],"be":[18],"used":[19],"render":[21,140],"novel":[22,59,92,141],"views":[23],"at":[24],"interactive":[25,186],"rates.":[26],"Previous":[27],"work":[28],"focuses":[29],"on":[30,167],"reconstructing":[31],"pre-defined":[32],"representations,":[34,40],"e.g.":[35,41],"textured":[36],"meshes,":[37],"or":[38,76],"implicit":[39],"radiance":[42],"fields,":[43],"and":[44,53,90,121,165,188],"often":[45],"requires":[46],"input":[47],"with":[49],"precise":[50],"camera":[51],"poses":[52],"long":[54],"processing":[55],"times":[56],"for":[57,175],"each":[58],"scene.":[60],"In":[61],"this":[62,156],"work,":[63],"we":[64,105,179],"propose":[65,106],"the":[66,102,110,130,136,176],"Scene":[67],"Representation":[68],"Transformer":[69,112],"(SRT),":[70],"method":[72,157],"which":[73],"processes":[74],"posed":[75],"unposed":[77],"RGB":[78],"of":[80,109,115,163,191],"new":[82,172],"area,":[83],"infers":[84],"\u201cset-latent":[86],"\u201d,":[89],"synthesises":[91],"views,":[93],"all":[94],"single":[97],"feed-forward":[98],"pass.":[99],"To":[100],"calculate":[101],"representation,":[104],"generalization":[108],"Vision":[111],"sets":[114],"images,":[116],"enabling":[117],"global":[118],"information":[119],"integration,":[120],"hence":[122],"reasoning.":[124],"An":[125],"efficient":[126],"decoder":[127],"transformer":[128],"parameterizes":[129],"light":[131],"field":[132],"by":[133,147],"attending":[134],"into":[135],"views.":[142],"Learning":[143],"supervised":[145],"end-to-end":[146],"minimizing":[148],"novel-view":[150],"reconstruction":[151],"error.":[152],"We":[153],"show":[154],"outperforms":[158],"recent":[159],"baselines":[160],"terms":[162],"PSNR":[164],"speed":[166],"synthetic":[168],"datasets,":[169],"including":[170],"dataset":[173],"created":[174],"paper.":[177],"Further,":[178],"demonstrate":[180],"SRT":[182],"scales":[183],"support":[185],"visualization":[187],"semantic":[189],"segmentation":[190],"real-world":[192],"outdoor":[193],"environments":[194],"using":[195],"Street":[196],"View":[197],"imagery.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}