{"id":"https://openalex.org/W4380486915","doi":"https://doi.org/10.1145/3618402","title":"GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields","display_name":"GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4380486915","doi":"https://doi.org/10.1145/3618402"},"language":"en","primary_location":{"id":"doi:10.1145/3618402","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3618402","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.06044","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020553519","display_name":"Barbara Roessle","orcid":"https://orcid.org/0009-0004-7866-7785"},"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":"Barbara Roessle","raw_affiliation_strings":["Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053693732","display_name":"Norman M\u00fcller","orcid":"https://orcid.org/0009-0006-8034-9721"},"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":"Norman M\u00fcller","raw_affiliation_strings":["Technical University of Munich, Germany and Meta Reality Labs Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany and Meta Reality Labs Zurich, Switzerland","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082732256","display_name":"Lorenzo Porzi","orcid":"https://orcid.org/0000-0001-9331-2908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lorenzo Porzi","raw_affiliation_strings":["Meta Reality Labs Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs Zurich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073916921","display_name":"Samuel Rota Bul\u00f2","orcid":"https://orcid.org/0000-0002-2372-1367"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel Rota Bul\u00f2","raw_affiliation_strings":["Meta Reality Labs Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs Zurich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017062041","display_name":"Peter Kontschieder","orcid":"https://orcid.org/0000-0002-9809-664X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Kontschieder","raw_affiliation_strings":["Meta Reality Labs Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs Zurich, Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088583491","display_name":"Matthias Nie\u00dfner","orcid":"https://orcid.org/0000-0001-6093-5199"},"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":"Matthias Niessner","raw_affiliation_strings":["Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9611,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87157831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"42","issue":"6","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9979000091552734,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.994700014591217,"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/radiance","display_name":"Radiance","score":0.829289436340332},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.8286619186401367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8088629245758057},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6339457631111145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6084311604499817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5158395171165466},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4320313334465027},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.337618887424469},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.12287637591362},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.09598609805107117},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08094155788421631},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07957804203033447}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.829289436340332},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8286619186401367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088629245758057},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6339457631111145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6084311604499817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5158395171165466},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4320313334465027},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.337618887424469},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.12287637591362},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.09598609805107117},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08094155788421631},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07957804203033447}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3618402","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3618402","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2306.06044","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.06044","pdf_url":"https://arxiv.org/pdf/2306.06044","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.06044","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.06044","pdf_url":"https://arxiv.org/pdf/2306.06044","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2471962767","https://openalex.org/W2559655401","https://openalex.org/W2731516742","https://openalex.org/W2738551266","https://openalex.org/W2792263949","https://openalex.org/W2886787375","https://openalex.org/W2962785568","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963470893","https://openalex.org/W2963800363","https://openalex.org/W2992838650","https://openalex.org/W3035574324","https://openalex.org/W3039828778","https://openalex.org/W3080623073","https://openalex.org/W3092948912","https://openalex.org/W3105938520","https://openalex.org/W3109025584","https://openalex.org/W3109585842","https://openalex.org/W3109908659","https://openalex.org/W3114462840","https://openalex.org/W3167294693","https://openalex.org/W3168867926","https://openalex.org/W3174956151","https://openalex.org/W3176179930","https://openalex.org/W3176368002","https://openalex.org/W3202037070","https://openalex.org/W3203570626","https://openalex.org/W3204859697","https://openalex.org/W3213840695","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W3216476011","https://openalex.org/W4200382072","https://openalex.org/W4200420145","https://openalex.org/W4214502182","https://openalex.org/W4214564891","https://openalex.org/W4221151978","https://openalex.org/W4281784082","https://openalex.org/W4283315976","https://openalex.org/W4295521014","https://openalex.org/W4302023197","https://openalex.org/W4311249470","https://openalex.org/W4312234520","https://openalex.org/W4312247696","https://openalex.org/W4312325284","https://openalex.org/W4312912979","https://openalex.org/W4312933868","https://openalex.org/W4312969460","https://openalex.org/W4313154783","https://openalex.org/W4320831569","https://openalex.org/W4320855460","https://openalex.org/W4376311815","https://openalex.org/W4378450585","https://openalex.org/W4386065790","https://openalex.org/W4386066317","https://openalex.org/W4386076543","https://openalex.org/W4390872696","https://openalex.org/W4390873054","https://openalex.org/W4390873101","https://openalex.org/W6910563247"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W3137044537","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W2172753644","https://openalex.org/W2170209930","https://openalex.org/W4246858109"],"abstract_inverted_index":{"Neural":[0],"Radiance":[1],"Fields":[2],"(NeRF)":[3],"have":[4],"shown":[5],"impressive":[6],"novel":[7],"view":[8],"synthesis":[9],"results;":[10],"nonetheless,":[11],"even":[12],"thorough":[13],"recordings":[14],"yield":[15],"imperfections":[16,36],"in":[17,65,97,107],"reconstructions,":[18],"for":[19],"instance":[20],"due":[21],"to":[22,33,55,62,89,132,152],"poorly":[23],"observed":[24],"areas":[25],"or":[26],"minor":[27],"lighting":[28],"changes.":[29],"Our":[30],"goal":[31],"is":[32,129],"mitigate":[34],"these":[35],"from":[37],"various":[38],"sources":[39],"with":[40,69,124],"a":[41,80,98,122],"joint":[42],"solution:":[43],"we":[44,74,120],"take":[45],"advantage":[46],"of":[47,50,79,168],"the":[48,76,90,108,156,164],"ability":[49],"generative":[51],"adversarial":[52,84],"networks":[53],"(GANs)":[54],"produce":[56],"realistic":[57],"images":[58],"and":[59,170],"use":[60],"them":[61],"enhance":[63],"realism":[64,96],"3D":[66,110],"scene":[67,81],"reconstruction":[68],"NeRFs.":[70],"To":[71],"this":[72],"end,":[73],"learn":[75],"patch":[77],"distribution":[78],"using":[82],"an":[83],"discriminator,":[85],"which":[86,128],"provides":[87],"feedback":[88],"radiance":[91],"field":[92],"reconstruction,":[93],"thus":[94],"improving":[95,159],"3D-consistent":[99],"fashion.":[100],"Thereby,":[101],"rendering":[102,116,135,144],"artifacts":[103],"are":[104],"repaired":[105],"directly":[106],"underlying":[109],"representation":[111],"by":[112,161],"imposing":[113],"multi-view":[114],"path":[115],"constraints.":[117],"In":[118],"addition,":[119],"condition":[121],"generator":[123],"multi-resolution":[125],"NeRF":[126],"renderings":[127],"adversarially":[130],"trained":[131],"further":[133],"improve":[134],"quality.":[136],"We":[137],"demonstrate":[138],"that":[139],"our":[140],"approach":[141],"significantly":[142],"improves":[143],"quality,":[145],"e.g.,":[146],"nearly":[147],"halving":[148],"LPIPS":[149],"scores":[150],"compared":[151],"Nerfacto":[153],"while":[154],"at":[155],"same":[157],"time":[158],"PSNR":[160],"1.4dB":[162],"on":[163],"advanced":[165],"indoor":[166],"scenes":[167],"Tanks":[169],"Temples.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}