{"id":"https://openalex.org/W4368304652","doi":"https://doi.org/10.48550/arxiv.2305.01643","title":"Neural LiDAR Fields for Novel View Synthesis","display_name":"Neural LiDAR Fields for Novel View Synthesis","publication_year":2023,"publication_date":"2023-05-02","ids":{"openalex":"https://openalex.org/W4368304652","doi":"https://doi.org/10.48550/arxiv.2305.01643"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.01643","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.01643","pdf_url":"https://arxiv.org/pdf/2305.01643","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/2305.01643","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101875606","display_name":"Shengyu Huang","orcid":"https://orcid.org/0000-0003-3521-5143"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huang, Shengyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025638024","display_name":"\u017dan Goj\u010di\u010d","orcid":"https://orcid.org/0000-0001-6392-2158"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gojcic, Zan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026250667","display_name":"Zian Wang","orcid":"https://orcid.org/0000-0003-3906-2180"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034982302","display_name":"FRANCIS H. WILLIAMS","orcid":"https://orcid.org/0000-0003-2189-881X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Williams, Francis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010210809","display_name":"Yoni Kasten","orcid":"https://orcid.org/0009-0006-9897-0022"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kasten, Yoni","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070642269","display_name":"Sanja Fidler","orcid":"https://orcid.org/0000-0003-1040-3260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fidler, Sanja","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005404030","display_name":"Konrad Schindler","orcid":"https://orcid.org/0000-0002-3172-9246"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schindler, Konrad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006347979","display_name":"Or Litany","orcid":"https://orcid.org/0000-0001-6700-7379"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Litany, Or","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101875606"],"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.998199999332428,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9904000163078308,"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/lidar","display_name":"Lidar","score":0.9218310117721558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7120910286903381},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7003265023231506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5856777429580688},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5614724159240723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5118502974510193},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5091046690940857},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3041026294231415},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1481359899044037},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.09531909227371216},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06769955158233643}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.9218310117721558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120910286903381},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7003265023231506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856777429580688},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5614724159240723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5118502974510193},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5091046690940857},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3041026294231415},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1481359899044037},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.09531909227371216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06769955158233643}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2305.01643","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.01643","pdf_url":"https://arxiv.org/pdf/2305.01643","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.2305.01643","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.01643","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:2305.01643","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.01643","pdf_url":"https://arxiv.org/pdf/2305.01643","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4368304652.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421"],"abstract_inverted_index":{"We":[0,66],"present":[1],"Neural":[2],"Fields":[3],"for":[4],"LiDAR":[5,17,25,46,73,90],"(NFL),":[6],"a":[7,11,39],"method":[8],"to":[9,52,110,115],"optimise":[10],"neural":[12,36],"field":[13],"scene":[14],"representation":[15],"from":[16,27],"measurements,":[18],"with":[19,38],"the":[20,32,45,99,103,107],"goal":[21],"of":[22,35,44,102],"synthesizing":[23],"realistic":[24],"scans":[26,74,112],"novel":[28,91],"viewpoints.":[29],"NFL":[30,68],"combines":[31],"rendering":[33],"power":[34],"fields":[37],"detailed,":[40],"physically":[41],"motivated":[42],"model":[43],"sensing":[47],"process,":[48],"thus":[49],"enabling":[50],"it":[51,78],"accurately":[53],"reproduce":[54],"key":[55],"sensor":[56],"behaviors":[57],"like":[58],"beam":[59],"divergence,":[60],"secondary":[61],"returns,":[62],"and":[63,71,75,113,118],"ray":[64],"dropping.":[65],"evaluate":[67],"on":[69,89],"synthetic":[70],"real":[72,111],"show":[76,97],"that":[77,98],"outperforms":[79],"explicit":[80],"reconstruct-then-simulate":[81],"methods":[82,88],"as":[83,85],"well":[84],"other":[86],"NeRF-style":[87],"view":[92],"synthesis":[93],"task.":[94],"Moreover,":[95],"we":[96],"improved":[100],"realism":[101],"synthesized":[104],"views":[105],"narrows":[106],"domain":[108],"gap":[109],"translates":[114],"better":[116],"registration":[117],"semantic":[119],"segmentation":[120],"performance.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
