{"id":"https://openalex.org/W4386066644","doi":"https://doi.org/10.1109/cvpr52729.2023.01668","title":"Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention","display_name":"Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386066644","doi":"https://doi.org/10.1109/cvpr52729.2023.01668"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5030451822","display_name":"Fangfu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Fangfu Liu","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering","Department of Electronic Engineering, Tsinghua University","Beijing National Research Center for Information Science and Technology"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003668019","display_name":"Chubin Zhang","orcid":"https://orcid.org/0009-0008-6353-2123"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chubin Zhang","raw_affiliation_strings":["Tsinghua University,Department of Automation","Department of Automation, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006301424","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0001-6166-5733"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Tsinghua University,Department of Automation","Department of Automation, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013973037","display_name":"Yueqi Duan","orcid":"https://orcid.org/0000-0002-1190-6663"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueqi Duan","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering","Department of Electronic Engineering, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030451822"],"corresponding_institution_ids":["https://openalex.org/I29955533","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":10.1737,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.98563261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"17386","last_page":"17396"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8184494376182556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6522128582000732},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4815959632396698},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46991243958473206},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.43156105279922485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184494376182556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6522128582000732},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4815959632396698},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46991243958473206},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.43156105279922485},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G4782915672","display_name":null,"funder_award_id":"62206147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2004546930","https://openalex.org/W2122572959","https://openalex.org/W2132360065","https://openalex.org/W2133665775","https://openalex.org/W2412782625","https://openalex.org/W2594519801","https://openalex.org/W2609077090","https://openalex.org/W2630837129","https://openalex.org/W2902991970","https://openalex.org/W2913972737","https://openalex.org/W2947263797","https://openalex.org/W2949830259","https://openalex.org/W2962782553","https://openalex.org/W2962785568","https://openalex.org/W2963627347","https://openalex.org/W2963881378","https://openalex.org/W2963926543","https://openalex.org/W2971278627","https://openalex.org/W2981689412","https://openalex.org/W3003437478","https://openalex.org/W3008115128","https://openalex.org/W3039448353","https://openalex.org/W3039828778","https://openalex.org/W3092203888","https://openalex.org/W3092948912","https://openalex.org/W3107518100","https://openalex.org/W3117839341","https://openalex.org/W3136656704","https://openalex.org/W3176179930","https://openalex.org/W3176368002","https://openalex.org/W3177330511","https://openalex.org/W3179022832","https://openalex.org/W3182978476","https://openalex.org/W3186630079","https://openalex.org/W3196835455","https://openalex.org/W3202037070","https://openalex.org/W3203570626","https://openalex.org/W3203583526","https://openalex.org/W3203806429","https://openalex.org/W3204859697","https://openalex.org/W3210613940","https://openalex.org/W3215589927","https://openalex.org/W3217184254","https://openalex.org/W4200150166","https://openalex.org/W4214502182","https://openalex.org/W4214605256","https://openalex.org/W4214628039","https://openalex.org/W4214661523","https://openalex.org/W4295312788","https://openalex.org/W4297812694","https://openalex.org/W4302011281","https://openalex.org/W4308482859","https://openalex.org/W4312477504","https://openalex.org/W4312955971","https://openalex.org/W4312969460","https://openalex.org/W4312971576","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6739696289","https://openalex.org/W6744842679","https://openalex.org/W6763480078","https://openalex.org/W6764040762","https://openalex.org/W6766978945","https://openalex.org/W6780879210","https://openalex.org/W6781421651","https://openalex.org/W6784492152","https://openalex.org/W6784729325","https://openalex.org/W6800702707","https://openalex.org/W6840134222","https://openalex.org/W6845830698"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,103,136],"aim":[4],"to":[5,47,76,92,108,177,188,190],"learn":[6,48,178],"a":[7,39,65,82,138],"semantic":[8,50,62,79,111],"radiance":[9],"field":[10],"from":[11,64,117,132,179],"multiple":[12,69,159,180],"scenes":[13],"that":[14,45,172],"is":[15,175],"accurate,":[16],"efficient":[17],"and":[18,34,61,90,146,157,161,182],"generalizable.":[19],"While":[20],"most":[21],"existing":[22],"NeRFs":[23],"target":[24],"at":[25],"the":[26,53,72,114,168],"tasks":[27],"of":[28],"neural":[29],"scene":[30],"rendering,":[31],"image":[32],"synthesis":[33],"multi-view":[35,119,127],"reconstruction,":[36],"there":[37],"are":[38],"few":[40],"attempts":[41],"such":[42],"as":[43],"Semantic-NeRF":[44,57],"explore":[46],"high-level":[49],"understanding":[51],"with":[52,68,142],"NeRF":[54,85],"structure.":[55],"However,":[56],"simultaneously":[58],"learns":[59],"color":[60],"label":[63],"single":[66,73],"ray":[67,74,115],"heads,":[70],"where":[71],"fails":[75],"provide":[77],"rich":[78],"information.":[80],"As":[81,121],"result,":[83],"Semantic":[84,105],"relies":[86],"on":[87],"positional":[88],"encoding":[89],"needs":[91],"train":[93],"one":[94],"specific":[95],"model":[96],"for":[97],"each":[98],"scene.":[99],"To":[100],"address":[101],"this,":[102],"propose":[104],"Ray":[106],"(S-Ray)":[107],"fully":[109],"exploit":[110],"information":[112,153],"along":[113,154],"direction":[116],"its":[118],"reprojections.":[120],"directly":[122],"performing":[123],"dense":[124,164],"attention":[125],"over":[126],"reprojected":[128,155],"rays":[129,156],"would":[130],"suffer":[131],"heavy":[133],"computational":[134],"cost,":[135],"design":[137],"Cross-Reprojection":[139],"Attention":[140],"module":[141],"consecutive":[143],"intra-view":[144],"radial":[145],"cross-view":[147],"sparse":[148],"attentions,":[149],"which":[150],"decomposes":[151],"contextual":[152],"cross":[158],"views":[160],"then":[162],"collects":[163],"connections":[165],"by":[166],"stacking":[167],"modules.":[169],"Experiments":[170],"show":[171],"our":[173],"S-Ray":[174],"able":[176],"scenes,":[181],"it":[183],"presents":[184],"strong":[185],"generalization":[186],"ability":[187],"adapt":[189],"unseen":[191],"scenes.":[192],"Project":[193],"page:":[194],"https://liuff19.github.io/S-Ray/.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2025-10-10T00:00:00"}
