{"id":"https://openalex.org/W4362705821","doi":"https://doi.org/10.48550/arxiv.2304.02797","title":"DeLiRa: Self-Supervised Depth, Light, and Radiance Fields","display_name":"DeLiRa: Self-Supervised Depth, Light, and Radiance Fields","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362705821","doi":"https://doi.org/10.48550/arxiv.2304.02797"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2304.02797","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.02797","pdf_url":"https://arxiv.org/pdf/2304.02797","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":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.02797","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063755961","display_name":"Vitor Guizilini","orcid":"https://orcid.org/0000-0002-8715-8307"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guizilini, Vitor","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/A5077609498","display_name":"Jiading Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Jiading","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/A5012928208","display_name":"Sergey Zakharov","orcid":"https://orcid.org/0000-0002-8507-0352"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zakharov, Sergey","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016061808","display_name":"Vincent Sitzmann","orcid":"https://orcid.org/0000-0002-0107-5704"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sitzmann, Vincent","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","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":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5063755961"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.994700014591217,"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":0.9829999804496765,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7789199352264404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7427483797073364},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.7132551074028015},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.5705476999282837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5690160393714905},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.4690903425216675},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42181113362312317},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.4200579524040222},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.41570889949798584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34363487362861633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3318019211292267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15555864572525024}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7789199352264404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427483797073364},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.7132551074028015},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.5705476999282837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5690160393714905},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.4690903425216675},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42181113362312317},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.4200579524040222},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.41570889949798584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34363487362861633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3318019211292267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15555864572525024},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2304.02797","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.02797","pdf_url":"https://arxiv.org/pdf/2304.02797","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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2304.02797","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2304.02797","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:2304.02797","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.02797","pdf_url":"https://arxiv.org/pdf/2304.02797","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362705821.pdf","grobid_xml":"https://content.openalex.org/works/W4362705821.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4211106943","https://openalex.org/W3131350938","https://openalex.org/W3000078511","https://openalex.org/W3134119790","https://openalex.org/W2731344982","https://openalex.org/W2139363746","https://openalex.org/W2073038808","https://openalex.org/W2181483861","https://openalex.org/W3163612542","https://openalex.org/W2982549369"],"abstract_inverted_index":{"Differentiable":[0],"volumetric":[1,58,140],"rendering":[2,17,141],"is":[3,112],"a":[4,30,54,82,87,98],"powerful":[5],"paradigm":[6],"for":[7,57],"3D":[8],"reconstruction":[9],"and":[10,94,148],"novel":[11,62,146],"view":[12,63,147],"synthesis.":[13],"However,":[14],"standard":[15],"volume":[16],"approaches":[18],"struggle":[19],"with":[20,97],"degenerate":[21],"geometries":[22],"in":[23,33,124,151],"the":[24,43,48,75,134,152],"case":[25],"of":[26,78,100],"limited":[27,153],"viewpoint":[28,154],"diversity,":[29],"common":[31],"scenario":[32],"robotics":[34],"applications.":[35],"In":[36],"this":[37,71],"work,":[38],"we":[39,73],"propose":[40],"to":[41,116],"use":[42],"multi-view":[44],"photometric":[45],"objective":[46],"from":[47],"self-supervised":[49],"depth":[50,93,149],"estimation":[51],"literature":[52],"as":[53,90,92,142,144],"geometric":[55,108],"regularizer":[56],"rendering,":[59],"significantly":[60],"improving":[61],"synthesis":[64,150],"without":[65,121],"requiring":[66],"additional":[67],"information.":[68],"Building":[69],"upon":[70],"insight,":[72],"explore":[74],"explicit":[76],"modeling":[77],"scene":[79],"geometry":[80],"using":[81],"generalist":[83],"Transformer,":[84],"jointly":[85],"learning":[86,120],"radiance":[88],"field":[89],"well":[91,143],"light":[95],"fields":[96],"set":[99],"shared":[101],"latent":[102],"codes.":[103],"We":[104],"demonstrate":[105],"that":[106],"sharing":[107],"information":[109],"across":[110],"tasks":[111],"mutually":[113],"beneficial,":[114],"leading":[115],"improvements":[117],"over":[118],"single-task":[119],"an":[122],"increase":[123],"network":[125],"complexity.":[126],"Our":[127],"DeLiRa":[128],"architecture":[129],"achieves":[130],"state-of-the-art":[131],"results":[132],"on":[133],"ScanNet":[135],"benchmark,":[136],"enabling":[137],"high":[138],"quality":[139],"real-time":[145],"diversity":[155],"setting.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
