{"id":"https://openalex.org/W4391335228","doi":"https://doi.org/10.48550/arxiv.2401.14726","title":"3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field","display_name":"3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4391335228","doi":"https://doi.org/10.48550/arxiv.2401.14726"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2401.14726","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14726","pdf_url":"https://arxiv.org/pdf/2401.14726","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,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2401.14726","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025683040","display_name":"Zhenyu Bao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bao, Zhenyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047649165","display_name":"Guibiao Liao","orcid":"https://orcid.org/0000-0002-5714-1926"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liao, Guibiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026528598","display_name":"Zhongyuan Zhao","orcid":"https://orcid.org/0000-0003-0346-8015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Zhongyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004007577","display_name":"Kanglin Liu","orcid":"https://orcid.org/0000-0002-6293-5464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Kanglin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404199","display_name":"Qing Li","orcid":"https://orcid.org/0009-0009-8371-4319"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Qing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114259459","display_name":"Guoping Qiu","orcid":"https://orcid.org/0000-0002-5877-5648"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu, Guoping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9932000041007996,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9908000230789185,"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/radiance","display_name":"Radiance","score":0.9144737720489502},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.7039347887039185},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5882397294044495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5479509830474854},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46982526779174805},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42267799377441406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4202615022659302},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3921163082122803},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34207579493522644},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.266928106546402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11323937773704529}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.9144737720489502},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7039347887039185},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5882397294044495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5479509830474854},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46982526779174805},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42267799377441406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4202615022659302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3921163082122803},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34207579493522644},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.266928106546402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11323937773704529},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2401.14726","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14726","pdf_url":"https://arxiv.org/pdf/2401.14726","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,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2401.14726","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2401.14726","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,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2401.14726","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.14726","pdf_url":"https://arxiv.org/pdf/2401.14726","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,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.6800000071525574,"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":0,"referenced_works":[],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2043512367","https://openalex.org/W2392142157","https://openalex.org/W4321518006","https://openalex.org/W2331836163","https://openalex.org/W2005276308","https://openalex.org/W1970182911","https://openalex.org/W2349443037","https://openalex.org/W2157702764","https://openalex.org/W2508448752"],"abstract_inverted_index":{"Simultaneously":[0],"achieving":[1],"3D":[2,29,177],"reconstruction":[3,30,79,97,178],"and":[4,80,98,129,148,151,176,182],"new":[5,36,52,108],"view":[6,37,53,81,109,174],"synthesis":[7,38,175],"for":[8,179],"indoor":[9,180],"environments":[10,181],"has":[11,50],"widespread":[12],"applications":[13],"but":[14,32],"is":[15,118,184],"technically":[16],"very":[17],"challenging.":[18],"State-of-the-art":[19],"methods":[20],"based":[21],"on":[22,35],"implicit":[23],"neural":[24,46,70],"functions":[25],"can":[26,39,58,167],"achieve":[27,76],"excellent":[28],"results,":[31],"their":[33],"performances":[34],"be":[40],"unsatisfactory.":[41],"The":[42],"exciting":[43],"development":[44],"of":[45,112,116,140,172],"radiance":[47,71],"field":[48,72,93,105,128],"(NeRF)":[49],"revolutionized":[51],"synthesis,":[54],"however,":[55],"NeRF-based":[56],"models":[57],"fail":[59],"to":[60,74,94,106,135,153],"reconstruct":[61],"clean":[62],"geometric":[63,86,96],"surfaces.":[64],"We":[65],"have":[66],"developed":[67],"a":[68,122,133],"dual":[69],"(Du-NeRF)":[73],"simultaneously":[75],"high-quality":[77],"geometry":[78,150],"rendering.":[82],"Du-NeRF":[83,117,166],"contains":[84],"two":[85],"fields,":[87],"one":[88],"derived":[89,101],"from":[90,102,125,155],"the":[91,99,103,113,126,137,141,159,170],"SDF":[92,142],"facilitate":[95],"other":[100,157],"density":[104,127],"boost":[107],"synthesis.":[110],"One":[111],"innovative":[114],"features":[115],"that":[119,165,193],"it":[120,131,183],"decouples":[121],"view-independent":[123],"component":[124],"uses":[130],"as":[132],"label":[134],"supervise":[136],"learning":[138,160],"process":[139],"field.":[143],"This":[144],"reduces":[145],"shape-radiance":[146],"ambiguity":[147],"enables":[149],"color":[152,198],"benefit":[154],"each":[156],"during":[158],"process.":[161],"Extensive":[162],"experiments":[163],"demonstrate":[164],"significantly":[168],"improve":[169],"performance":[171],"novel":[173],"particularly":[185],"effective":[186],"in":[187],"constructing":[188],"areas":[189],"containing":[190],"fine":[191],"geometries":[192],"do":[194],"not":[195],"obey":[196],"multi-view":[197],"consistency.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2024-01-30T00:00:00"}
