{"id":"https://openalex.org/W4392921403","doi":"https://doi.org/10.3390/s24061919","title":"Enhancing View Synthesis with Depth-Guided Neural Radiance Fields and Improved Depth Completion","display_name":"Enhancing View Synthesis with Depth-Guided Neural Radiance Fields and Improved Depth Completion","publication_year":2024,"publication_date":"2024-03-16","ids":{"openalex":"https://openalex.org/W4392921403","doi":"https://doi.org/10.3390/s24061919","pmid":"https://pubmed.ncbi.nlm.nih.gov/38544180"},"language":"en","primary_location":{"id":"doi:10.3390/s24061919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24061919","pdf_url":"https://www.mdpi.com/1424-8220/24/6/1919/pdf?version=1710583847","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/6/1919/pdf?version=1710583847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101612491","display_name":"Bojun Wang","orcid":"https://orcid.org/0000-0002-7988-4608"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bojun Wang","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006523967","display_name":"Danhong Zhang","orcid":"https://orcid.org/0000-0002-3611-1920"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Danhong Zhang","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113075880","display_name":"Yixin Su","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Su","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754495","display_name":"Huajun Zhang","orcid":"https://orcid.org/0000-0002-5135-8198"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Zhang","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006523967"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6731,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67429554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"6","first_page":"1919","last_page":"1919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9980999827384949,"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/depth-map","display_name":"Depth map","score":0.7701448202133179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7230952978134155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6661252975463867},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6430845856666565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6100576519966125},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.597425103187561},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4874584674835205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4266831576824188},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4189794361591339},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20065099000930786},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14331644773483276},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.12907809019088745}],"concepts":[{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.7701448202133179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230952978134155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6661252975463867},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6430845856666565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6100576519966125},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.597425103187561},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4874584674835205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4266831576824188},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4189794361591339},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20065099000930786},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14331644773483276},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.12907809019088745}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s24061919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24061919","pdf_url":"https://www.mdpi.com/1424-8220/24/6/1919/pdf?version=1710583847","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38544180","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38544180","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10974786","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10974786","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10974786/pdf/sensors-24-01919.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:9fbb55911594473c930f237d59a7353c","is_oa":false,"landing_page_url":"https://doaj.org/article/9fbb55911594473c930f237d59a7353c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 6, p 1919 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/24/6/1919/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s24061919","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s24061919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24061919","pdf_url":"https://www.mdpi.com/1424-8220/24/6/1919/pdf?version=1710583847","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392921403.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2471962767","https://openalex.org/W2566265240","https://openalex.org/W2594519801","https://openalex.org/W2805658037","https://openalex.org/W2901584762","https://openalex.org/W2962785568","https://openalex.org/W2963416674","https://openalex.org/W2968257580","https://openalex.org/W3109585842","https://openalex.org/W3114462840","https://openalex.org/W3134621679","https://openalex.org/W3136656704","https://openalex.org/W3153220274","https://openalex.org/W3154129649","https://openalex.org/W3173531806","https://openalex.org/W3176368002","https://openalex.org/W3178317539","https://openalex.org/W3182714435","https://openalex.org/W3185535223","https://openalex.org/W3203257492","https://openalex.org/W3203570626","https://openalex.org/W3203806429","https://openalex.org/W3204859697","https://openalex.org/W4214564891","https://openalex.org/W4214661523","https://openalex.org/W4221151978","https://openalex.org/W4255822925","https://openalex.org/W4281259046","https://openalex.org/W4281784082","https://openalex.org/W4288242633","https://openalex.org/W4312258500","https://openalex.org/W4312969460","https://openalex.org/W4385527621","https://openalex.org/W4386066812","https://openalex.org/W6839182500"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2331836163","https://openalex.org/W1994657804","https://openalex.org/W2005276308","https://openalex.org/W1970182911","https://openalex.org/W2024462231","https://openalex.org/W2347721387"],"abstract_inverted_index":{"Neural":[0],"radiance":[1],"fields":[2],"(NeRFs)":[3],"leverage":[4],"a":[5,52,61,148,160],"neural":[6],"representation":[7],"to":[8,54,66,87,91,113,133],"encode":[9],"scenes,":[10],"obtaining":[11],"photorealistic":[12],"rendering":[13,204],"of":[14,43,85,107,123,186],"novel":[15],"views.":[16],"However,":[17],"NeRF":[18,44,86,108,196],"has":[19],"notable":[20],"limitations.":[21],"A":[22],"significant":[23,161],"drawback":[24],"is":[25,45,126,159],"that":[26,119,177],"it":[27],"does":[28],"not":[29],"capture":[30,182],"surface":[31,38],"geometry":[32],"and":[33,68,109,143,170,200],"only":[34],"renders":[35],"the":[36,41,70,82,92,104,115,120,124,129,138,144,166,171,183,187,195],"object":[37],"colors.":[39],"Furthermore,":[40,100],"training":[42,139],"exceedingly":[46],"time-consuming.":[47],"We":[48],"propose":[49],"Depth-NeRF":[50],"as":[51],"solution":[53],"these":[55,190],"issues.":[56],"Specifically,":[57],"our":[58,135,178],"approach":[59],"employs":[60],"fast":[62],"depth":[63,71,79,98,111,169],"completion":[64],"algorithm":[65],"denoise":[67],"complete":[69],"maps":[72,80],"generated":[73],"by":[74,141,154],"RGB-D":[75],"cameras.":[76],"These":[77],"improved":[78],"guide":[81],"sampling":[83],"points":[84],"be":[88],"distributed":[89],"closer":[90],"scene's":[93,130],"surface,":[94],"benefiting":[95],"from":[96],"dense":[97],"information.":[99],"we":[101,192],"have":[102],"optimized":[103],"network":[105],"structure":[106],"integrated":[110],"information":[112,185],"constrain":[114],"optimization":[116],"process,":[117],"ensuring":[118],"termination":[121],"distribution":[122],"ray":[125],"consistent":[127],"with":[128],"geometry.":[131],"Compared":[132],"NeRF,":[134],"method":[136,179],"accelerates":[137],"speed":[140],"18%,":[142],"rendered":[145,167],"images":[146],"achieve":[147,201],"higher":[149],"PSNR":[150],"than":[151],"those":[152],"obtained":[153],"mainstream":[155],"methods.":[156],"Additionally,":[157],"there":[158],"reduction":[162],"in":[163],"RMSE":[164],"between":[165],"scene":[168],"ground":[172],"truth":[173],"depth,":[174],"which":[175],"indicates":[176],"can":[180,193],"better":[181],"geometric":[184],"scene.":[188],"With":[189],"improvements,":[191],"train":[194],"model":[197],"more":[198,202],"efficiently":[199],"accurate":[203],"results.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}