{"id":"https://openalex.org/W4400490056","doi":"https://doi.org/10.1109/cscwd61410.2024.10580806","title":"XRNeRF: View-guided Neural Radiance Fields for Occlusion Removal","display_name":"XRNeRF: View-guided Neural Radiance Fields for Occlusion Removal","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400490056","doi":"https://doi.org/10.1109/cscwd61410.2024.10580806"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd61410.2024.10580806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5071699985","display_name":"Aoxue Li","orcid":"https://orcid.org/0000-0002-5467-9405"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoxue Li","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054486930","display_name":"Xinhua Zeng","orcid":"https://orcid.org/0000-0002-3903-0392"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Zeng","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048286108","display_name":"Yunlong Du","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Du","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043185150","display_name":"Chengxin Pang","orcid":"https://orcid.org/0000-0003-2481-1433"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxin Pang","raw_affiliation_strings":["Shanghai University of Electric Power,School of Electronics and Information Engineering,Shanghai,China,200090"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power,School of Electronics and Information Engineering,Shanghai,China,200090","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0635,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83874644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3200","last_page":"3205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/radiance","display_name":"Radiance","score":0.9177923202514648},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.5220601558685303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5183085799217224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47774094343185425},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46136775612831116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3787487745285034},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.35648298263549805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.355076402425766},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2122580111026764},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12108585238456726}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.9177923202514648},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.5220601558685303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5183085799217224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47774094343185425},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46136775612831116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3787487745285034},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35648298263549805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.355076402425766},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2122580111026764},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12108585238456726},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd61410.2024.10580806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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/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/W2157702764","https://openalex.org/W2508448752"],"abstract_inverted_index":{"The":[0,138],"Neural":[1],"Radiance":[2],"Fields":[3],"(NeRF)":[4],"technique":[5],"has":[6],"gained":[7],"significant":[8],"popularity":[9],"as":[10],"a":[11,28,33,37,54,97],"means":[12],"of":[13,32,46,96,128,147],"generating":[14],"new":[15],"views":[16],"by":[17,35,113,123],"representing":[18],"3D":[19],"scenes":[20],"using":[21,36],"an":[22],"implicit":[23],"space.":[24],"This":[25],"work":[26],"builds":[27],"controlled":[29],"viewpoint":[30],"model":[31],"scene":[34],"multi-view":[38],"stereo":[39],"geometry":[40],"approach,":[41],"which":[42],"advances":[43],"the":[44,71,74,82,94,105,115,120,125,129,134,145],"development":[45],"multi-camera":[47],"group":[48],"collaboration":[49],"techniques.":[50],"Despite":[51],"NeRF":[52],"being":[53],"spatial":[55,60],"query":[56],"function":[57],"based":[58],"on":[59,104,141],"coordinates":[61],"and":[62,118],"observation":[63],"directions,":[64],"it":[65],"cannot":[66],"efficiently":[67],"acquire":[68],"points":[69,131],"in":[70,81],"region":[72,122],"behind":[73],"occlusion":[75,79,112],"when":[76],"there":[77],"is":[78],"interference":[80],"dataset.":[83],"For":[84],"obtaining":[85],"images":[86],"that":[87],"are":[88],"free":[89],"from":[90,133],"occlusion,":[91],"we":[92],"propose":[93],"utilization":[95],"neural":[98],"point":[99,136],"cloud":[100],"to":[101],"impose":[102],"constraints":[103],"scene.":[106],"Our":[107],"method":[108],"involves":[109],"filtering":[110],"out":[111],"fitting":[114],"light":[116],"distribution":[117],"restoring":[119],"obscured":[121],"leveraging":[124],"isotropic":[126],"characteristics":[127],"target":[130],"obtained":[132],"multiview":[135],"feature.":[137],"experimental":[139],"results":[140],"existing":[142],"datasets":[143],"validate":[144],"effectiveness":[146],"our":[148],"method.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
