{"id":"https://openalex.org/W4386071699","doi":"https://doi.org/10.1109/cvpr52729.2023.00876","title":"Behind the Scenes: Density Fields for Single View Reconstruction","display_name":"Behind the Scenes: Density Fields for Single View Reconstruction","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386071699","doi":"https://doi.org/10.1109/cvpr52729.2023.00876"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.00876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","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/A5070803502","display_name":"Felix Wimbauer","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Wimbauer","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103218122","display_name":"Nan Yang","orcid":"https://orcid.org/0000-0002-1497-9630"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nan Yang","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083153177","display_name":"Christian Rupprecht","orcid":"https://orcid.org/0000-0003-3994-8045"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christian Rupprecht","raw_affiliation_strings":["University of Oxford"],"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087710605","display_name":"Daniel Cremers","orcid":"https://orcid.org/0000-0002-3079-7984"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"Daniel Cremers","raw_affiliation_strings":["Technical University of Munich","University of Oxford"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070803502"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":4.5626,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.96058059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"9076","last_page":"9086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9991999864578247,"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":0.9972000122070312,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.760988175868988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484255433082581},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7176275849342346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6813303828239441},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.6293426752090454},{"id":"https://openalex.org/keywords/frustum","display_name":"Frustum","score":0.6023590564727783},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5251638293266296},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5082487463951111},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5000014305114746},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.4966166615486145},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.476842999458313},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46027088165283203},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4338645935058594},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.4112207889556885},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3434557318687439},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19316062331199646},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09518668055534363},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08532217144966125},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08467009663581848}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.760988175868988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484255433082581},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7176275849342346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6813303828239441},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.6293426752090454},{"id":"https://openalex.org/C97402662","wikidata":"https://www.wikidata.org/wiki/Q846235","display_name":"Frustum","level":2,"score":0.6023590564727783},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5251638293266296},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5082487463951111},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5000014305114746},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.4966166615486145},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.476842999458313},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46027088165283203},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4338645935058594},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.4112207889556885},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3434557318687439},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19316062331199646},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09518668055534363},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08532217144966125},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08467009663581848},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.00876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G4245481341","display_name":null,"funder_award_id":"ERC-UNION-CoG-101001212","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G6762181717","display_name":null,"funder_award_id":"EP/T028572/1,EP/T028572/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8161891803","display_name":null,"funder_award_id":"EP/T028572/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1803059841","https://openalex.org/W2026058811","https://openalex.org/W2028687412","https://openalex.org/W2115579991","https://openalex.org/W2122572959","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2348664362","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2520707372","https://openalex.org/W2593414960","https://openalex.org/W2609883120","https://openalex.org/W2798410215","https://openalex.org/W2830339951","https://openalex.org/W2883907768","https://openalex.org/W2884654623","https://openalex.org/W2943445277","https://openalex.org/W2951234442","https://openalex.org/W2962816904","https://openalex.org/W2963265330","https://openalex.org/W2963488291","https://openalex.org/W2963557767","https://openalex.org/W2963926543","https://openalex.org/W2981518351","https://openalex.org/W2981542933","https://openalex.org/W2985775862","https://openalex.org/W2991322756","https://openalex.org/W3034604951","https://openalex.org/W3034801905","https://openalex.org/W3035523051","https://openalex.org/W3035524985","https://openalex.org/W3043971245","https://openalex.org/W3047787625","https://openalex.org/W3092203888","https://openalex.org/W3107389224","https://openalex.org/W3109025584","https://openalex.org/W3117476483","https://openalex.org/W3171953850","https://openalex.org/W3174397558","https://openalex.org/W3176368002","https://openalex.org/W3184957317","https://openalex.org/W3202343472","https://openalex.org/W3202995573","https://openalex.org/W3203570626","https://openalex.org/W3203597819","https://openalex.org/W3205856632","https://openalex.org/W3215769467","https://openalex.org/W3215926197","https://openalex.org/W3216476011","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4221155972","https://openalex.org/W4225949693","https://openalex.org/W4295312788","https://openalex.org/W4310832369","https://openalex.org/W4312234520","https://openalex.org/W4312311707","https://openalex.org/W4312757989","https://openalex.org/W4312856919","https://openalex.org/W4312969460","https://openalex.org/W4313154783","https://openalex.org/W4313196659","https://openalex.org/W4386723894","https://openalex.org/W6605121731","https://openalex.org/W6685261749","https://openalex.org/W6704970058","https://openalex.org/W6752817829","https://openalex.org/W6752865273","https://openalex.org/W6766978945","https://openalex.org/W6774877540","https://openalex.org/W6781130681","https://openalex.org/W6781421651","https://openalex.org/W6785830059","https://openalex.org/W6802719855","https://openalex.org/W6810197527","https://openalex.org/W6810227511","https://openalex.org/W6810242703","https://openalex.org/W6810661541","https://openalex.org/W6847144781"],"related_works":["https://openalex.org/W2397446807","https://openalex.org/W2008228214","https://openalex.org/W2897769554","https://openalex.org/W1965145804","https://openalex.org/W3163612542","https://openalex.org/W1970687683","https://openalex.org/W2041594093","https://openalex.org/W2371372908","https://openalex.org/W87916886","https://openalex.org/W2124985545"],"abstract_inverted_index":{"Inferring":[0],"a":[1,7,11,54,69,112,119],"meaningful":[2,158],"geometric":[3],"scene":[4,102],"representation":[5,103],"from":[6,53,68,89,129],"single":[8,55,70,120],"image":[9,81],"is":[10,125,154],"fundamental":[12],"problem":[13],"in":[14,32,76,97,118,165],"computer":[15],"vision.":[16],"Approaches":[17],"based":[18],"on":[19,177],"traditional":[20],"depth":[21,141,181],"map":[22],"prediction":[23,142,182],"can":[24,40,115],"only":[25,130],"reason":[26],"about":[27],"areas":[28],"that":[29,151,162],"are":[30,47,163],"visible":[31],"the":[33,77,80,90,98,166,172],"image.":[34,56,71,168],"Currently,":[35],"neural":[36,113],"radiance":[37],"fields":[38],"(NeRFs)":[39],"capture":[41],"true":[42],"3D":[43],"including":[44],"color,":[45],"but":[46],"too":[48],"complex":[49,107],"to":[50,62,82,109,138,156],"be":[51],"generated":[52],"As":[57],"an":[58,64],"alternative,":[59],"we":[60,149,170],"propose":[61],"predict":[63,116,157],"implicit":[65],"density":[66,99],"field":[67],"It":[72],"maps":[73],"every":[74],"location":[75],"frustum":[78],"of":[79,94,174],"volumetric":[83],"density.":[84],"By":[85],"directly":[86],"sampling":[87],"color":[88,96],"available":[91],"views":[92],"instead":[93],"storing":[95],"field,":[100],"our":[101,152,175],"becomes":[104],"significantly":[105],"less":[106],"compared":[108],"NeRFs,":[110],"and":[111,143,183],"network":[114,124],"it":[117],"forward":[121],"pass.":[122],"The":[123],"trained":[126],"through":[127],"self-supervision":[128],"video":[131],"data.":[132],"Our":[133],"formulation":[134],"allows":[135],"volume":[136],"rendering":[137],"perform":[139],"both":[140],"novel":[144],"view":[145],"synthesis.":[146,185],"Through":[147],"experiments,":[148],"show":[150],"method":[153],"able":[155],"geometry":[159],"for":[160,180],"regions":[161],"occluded":[164],"input":[167],"Additionally,":[169],"demonstrate":[171],"potential":[173],"approach":[176],"three":[178],"datasets":[179],"novel-view":[184]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
