{"id":"https://openalex.org/W4377865980","doi":"https://doi.org/10.48550/arxiv.2305.13307","title":"NeRFuser: Large-Scale Scene Representation by NeRF Fusion","display_name":"NeRFuser: Large-Scale Scene Representation by NeRF Fusion","publication_year":2023,"publication_date":"2023-05-22","ids":{"openalex":"https://openalex.org/W4377865980","doi":"https://doi.org/10.48550/arxiv.2305.13307"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.13307","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.13307","pdf_url":"https://arxiv.org/pdf/2305.13307","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","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/2305.13307","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077609498","display_name":"Jiading Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fang, Jiading","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110979714","display_name":"Shengjie Lin","orcid":"https://orcid.org/0009-0009-0694-1534"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Shengjie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042694706","display_name":"Igor Vasiljevic","orcid":"https://orcid.org/0000-0001-6117-0693"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasiljevic, Igor","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063755961","display_name":"Vitor Guizilini","orcid":"https://orcid.org/0000-0002-8715-8307"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guizilini, Vitor","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037522398","display_name":"Rare\u015f Ambru\u015f","orcid":"https://orcid.org/0000-0002-3111-3812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ambrus, Rares","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075018873","display_name":"Adrien Gaidon","orcid":"https://orcid.org/0000-0001-8820-550X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaidon, Adrien","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019380351","display_name":"Gregory Shakhnarovich","orcid":"https://orcid.org/0000-0003-4700-9398"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shakhnarovich, Gregory","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103153703","display_name":"Matthew R. Walter","orcid":"https://orcid.org/0000-0003-1425-6050"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Walter, Matthew R.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5077609498"],"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":0.9987999796867371,"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":0.9987999796867371,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9886999726295471,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7583084106445312},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6563107371330261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6024515628814697},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6017480492591858},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5688013434410095},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5103837847709656},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4545355439186096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583084106445312},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6563107371330261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6024515628814697},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6017480492591858},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5688013434410095},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5103837847709656},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4545355439186096},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2305.13307","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.13307","pdf_url":"https://arxiv.org/pdf/2305.13307","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.13307","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.13307","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.13307","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.13307","pdf_url":"https://arxiv.org/pdf/2305.13307","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"A":[0],"practical":[1],"benefit":[2],"of":[3,29,31,83,140],"implicit":[4,37],"visual":[5,38,119],"representations":[6],"like":[7],"Neural":[8],"Radiance":[9],"Fields":[10],"(NeRFs)":[11],"is":[12],"their":[13],"memory":[14],"efficiency:":[15],"large":[16,81],"scenes":[17],"can":[18],"be":[19],"efficiently":[20],"stored":[21],"and":[22,68,77,131],"shared":[23],"as":[24],"small":[25],"neural":[26,54],"nets":[27],"instead":[28],"collections":[30],"images.":[32],"However,":[33],"operating":[34],"on":[35,103,128],"these":[36],"data":[39],"structures":[40],"requires":[41],"extending":[42],"classical":[43],"image-based":[44],"vision":[45],"techniques":[46],"(e.g.,":[47],"registration,":[48],"blending)":[49],"from":[50,92,106,151],"image":[51],"sets":[52,82],"to":[53,74,86,96,117,144,149],"fields.":[55],"Towards":[56],"this":[57],"goal,":[58],"we":[59,111],"propose":[60,90,112],"NeRFuser,":[61],"a":[62,94,132],"novel":[63],"architecture":[64],"for":[65],"NeRF":[66],"registration":[67,91],"blending":[69],"that":[70,146],"assumes":[71],"only":[72],"access":[73],"pre-generated":[75],"NeRFs,":[76],"not":[78],"the":[79,98,122,138,152],"potentially":[80],"images":[84,104],"used":[85],"generate":[87],"them.":[88],"We":[89,125],"re-rendering,":[93],"technique":[95],"infer":[97],"transformation":[99],"between":[100],"NeRFs":[101],"based":[102],"synthesized":[105],"individual":[107,153],"NeRFs.":[108,155],"For":[109],"blending,":[110],"sample-based":[113],"inverse":[114],"distance":[115],"weighting":[116],"blend":[118],"information":[120],"at":[121],"ray-sample":[123],"level.":[124],"evaluate":[126],"NeRFuser":[127],"public":[129],"benchmarks":[130],"self-collected":[133],"object-centric":[134],"indoor":[135],"dataset,":[136],"showing":[137],"robustness":[139],"our":[141],"method,":[142],"including":[143],"views":[145],"are":[147],"challenging":[148],"render":[150],"source":[154]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
