{"id":"https://openalex.org/W4320002662","doi":"https://doi.org/10.1109/lsp.2023.3240370","title":"Dense Depth-Guided Generalizable NeRF","display_name":"Dense Depth-Guided Generalizable NeRF","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320002662","doi":"https://doi.org/10.1109/lsp.2023.3240370"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3240370","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lsp.2023.3240370","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5025050202","display_name":"Dongwoo Lee","orcid":"https://orcid.org/0000-0002-5626-8175"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dongwoo Lee","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, ASRI, Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, ASRI, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046504049","display_name":"Kyoung Mu Lee","orcid":"https://orcid.org/0000-0001-7210-1036"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung Mu Lee","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, ASRI, Seoul National University, Seoul, Republic of Korea","IPAI, Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, ASRI, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"IPAI, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025050202"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.1054,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78928254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"75","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7320133447647095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263969779014587},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7115440368652344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6735694408416748},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5625668168067932},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.5555418729782104},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.46438464522361755},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.238867849111557}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7320133447647095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263969779014587},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7115440368652344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6735694408416748},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5625668168067932},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.5555418729782104},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.46438464522361755},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.238867849111557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3240370","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lsp.2023.3240370","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321292","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2064076387","https://openalex.org/W2194775991","https://openalex.org/W2338968644","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2551052086","https://openalex.org/W2565639579","https://openalex.org/W2901982540","https://openalex.org/W2942368658","https://openalex.org/W2962785568","https://openalex.org/W2962793285","https://openalex.org/W2962849139","https://openalex.org/W2963926543","https://openalex.org/W2964288609","https://openalex.org/W2990256309","https://openalex.org/W3034530552","https://openalex.org/W3109585842","https://openalex.org/W3117476483","https://openalex.org/W3172568571","https://openalex.org/W3176368002","https://openalex.org/W3186630079","https://openalex.org/W3203257492","https://openalex.org/W3204859697","https://openalex.org/W3217184254","https://openalex.org/W4214628039","https://openalex.org/W4237648096","https://openalex.org/W4312477504","https://openalex.org/W4313154783","https://openalex.org/W6631190155","https://openalex.org/W6685261749","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2159108676","https://openalex.org/W2993409993","https://openalex.org/W2164283051","https://openalex.org/W2152799998","https://openalex.org/W3206964005","https://openalex.org/W2397446807","https://openalex.org/W2111081960","https://openalex.org/W2009088896","https://openalex.org/W2130273794","https://openalex.org/W2167722661"],"abstract_inverted_index":{"Neural":[0],"rendering":[1,5],"approaches":[2],"enable":[3],"photo-realistic":[4],"on":[6,71],"novel":[7,23],"view":[8],"synthesis":[9],"tasks":[10],"while":[11],"their":[12],"per-scene":[13],"optimization":[14],"remains":[15],"an":[16,136],"issue":[17],"for":[18,162,175],"scalability.":[19],"Recent":[20],"methods":[21,46,174],"introduce":[22],"neural":[24],"radiance":[25],"field":[26],"(NeRF)":[27],"frameworks":[28],"that":[29,99,167],"generalize":[30],"to":[31,80,139,154],"unseen":[32],"scenes":[33],"on-the-fly":[34],"by":[35,54,86],"combining":[36],"multi-view":[37],"stereo":[38],"with":[39],"differentiable":[40],"volume":[41],"rendering.":[42],"These":[43],"generalizable":[44,97,172],"NeRF":[45,98,173],"synthesize":[47],"the":[48,56,67,72,101,104,108,112,116,121,144,155],"colors":[49],"of":[50,58,115,129,157],"3D":[51,127],"ray":[52,109],"points":[53,128],"learning":[55],"consistency":[57,68],"image":[59,75],"features":[60,152],"projected":[61,74],"from":[62,125,131],"given":[63],"nearby":[64,158],"views.":[65],"Since":[66],"is":[69,78,135],"computed":[70],"2D":[73],"space,":[76],"it":[77],"vulnerable":[79],"occlusion":[81,163],"and":[82,111,160,179],"local":[83],"shape":[84],"variation":[85],"viewing":[87],"direction.":[88],"To":[89],"solve":[90],"this":[91],"problem,":[92],"we":[93],"present":[94],"dense":[95,122,145],"depth-guided":[96],"leverages":[100],"depth":[102,123,146],"as":[103,150],"signed":[105],"distance":[106],"between":[107],"point":[110],"object":[113],"surface":[114],"scene.":[117],"We":[118],"first":[119],"generate":[120],"maps":[124,147],"sparse":[126],"structure":[130],"motion":[132],"(SfM)":[133],"which":[134],"inevitable":[137],"step":[138],"obtain":[140],"camera":[141],"poses.":[142],"Next,":[143],"are":[148],"exploited":[149],"complementary":[151],"invariant":[153],"sparsity":[156],"views":[159],"mask":[161],"handling.":[164],"Experiments":[165],"demonstrate":[166],"our":[168],"approach":[169],"outperforms":[170],"existing":[171],"widely":[176],"used":[177],"real":[178],"synthetic":[180],"datasets.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
