{"id":"https://openalex.org/W4394698761","doi":"https://doi.org/10.1109/tpami.2024.3387307","title":"PERF: Panoramic Neural Radiance Field From a Single Panorama","display_name":"PERF: Panoramic Neural Radiance Field From a Single Panorama","publication_year":2024,"publication_date":"2024-04-10","ids":{"openalex":"https://openalex.org/W4394698761","doi":"https://doi.org/10.1109/tpami.2024.3387307","pmid":"https://pubmed.ncbi.nlm.nih.gov/38598389"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3387307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3387307","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5028380963","display_name":"Guangcong Wang","orcid":"https://orcid.org/0000-0002-6627-814X"},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]},{"id":"https://openalex.org/I4396570619","display_name":"Great Bay University","ror":"https://ror.org/01hdgge16","country_code":null,"type":"education","lineage":["https://openalex.org/I4396570619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcong Wang","raw_affiliation_strings":["Great Bay University, Dongguan, China","S-Lab, Nanyang Technological University, China"],"raw_orcid":"https://orcid.org/0000-0002-6627-814X","affiliations":[{"raw_affiliation_string":"Great Bay University, Dongguan, China","institution_ids":["https://openalex.org/I4396570619"]},{"raw_affiliation_string":"S-Lab, Nanyang Technological University, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107809134","display_name":"Peng Wang","orcid":"https://orcid.org/0009-0009-8245-1860"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0009-8245-1860","affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107809154","display_name":"Zhaoxi Chen","orcid":"https://orcid.org/0000-0003-3998-7044"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhaoxi Chen","raw_affiliation_strings":["S-Lab, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-3998-7044","affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668416","display_name":"Wenping Wang","orcid":"https://orcid.org/0000-0002-2284-3952"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenping Wang","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-2284-3952","affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005626854","display_name":"Chen Change Loy","orcid":"https://orcid.org/0000-0001-5345-1591"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chen Change Loy","raw_affiliation_strings":["S-Lab, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-5345-1591","affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100406050","display_name":"Ziwei Liu","orcid":"https://orcid.org/0000-0002-4220-5958"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ziwei Liu","raw_affiliation_strings":["S-Lab, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4220-5958","affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.518,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96893956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"46","issue":"10","first_page":"6905","last_page":"6918"},"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":0.9994999766349792,"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":0.9987000226974487,"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/inpainting","display_name":"Inpainting","score":0.8041762113571167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7968804836273193},{"id":"https://openalex.org/keywords/panorama","display_name":"Panorama","score":0.7535842657089233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7528061866760254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7360565066337585},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5847394466400146},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.44750887155532837},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.43975603580474854},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4339243173599243},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.413920134305954},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.34157198667526245},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.2956658601760864},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28794318437576294},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08188652992248535}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8041762113571167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7968804836273193},{"id":"https://openalex.org/C2780580889","wikidata":"https://www.wikidata.org/wiki/Q41363","display_name":"Panorama","level":2,"score":0.7535842657089233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7528061866760254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7360565066337585},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5847394466400146},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.44750887155532837},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.43975603580474854},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4339243173599243},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.413920134305954},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.34157198667526245},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2956658601760864},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28794318437576294},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08188652992248535},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3387307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3387307","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38598389","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38598389","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4681453649","display_name":null,"funder_award_id":"AISG2-PhD-2021-08-019","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2130604180","https://openalex.org/W2133665775","https://openalex.org/W2949830259","https://openalex.org/W2955639361","https://openalex.org/W2962785568","https://openalex.org/W3034528136","https://openalex.org/W3081167590","https://openalex.org/W3109585842","https://openalex.org/W3130983693","https://openalex.org/W3134621679","https://openalex.org/W3136656704","https://openalex.org/W3153220274","https://openalex.org/W3159481202","https://openalex.org/W3171145773","https://openalex.org/W3171187194","https://openalex.org/W3174111735","https://openalex.org/W3174752334","https://openalex.org/W3176368002","https://openalex.org/W3182714435","https://openalex.org/W3184952021","https://openalex.org/W3184957317","https://openalex.org/W3185535223","https://openalex.org/W3186804687","https://openalex.org/W3202343472","https://openalex.org/W3202995573","https://openalex.org/W3203570626","https://openalex.org/W3203806429","https://openalex.org/W3203887644","https://openalex.org/W3204859697","https://openalex.org/W3209532394","https://openalex.org/W3215769467","https://openalex.org/W3215974962","https://openalex.org/W3216476011","https://openalex.org/W4214502182","https://openalex.org/W4214564845","https://openalex.org/W4214564891","https://openalex.org/W4214661523","https://openalex.org/W4214768561","https://openalex.org/W4221147645","https://openalex.org/W4221151978","https://openalex.org/W4281814467","https://openalex.org/W4298187450","https://openalex.org/W4301237043","https://openalex.org/W4304732373","https://openalex.org/W4311802212","https://openalex.org/W4312247696","https://openalex.org/W4312280420","https://openalex.org/W4312325284","https://openalex.org/W4312713450","https://openalex.org/W4312878643","https://openalex.org/W4312933868","https://openalex.org/W4312969460","https://openalex.org/W4313031684","https://openalex.org/W4313196659","https://openalex.org/W4327810111","https://openalex.org/W4361229530","https://openalex.org/W4385318467","https://openalex.org/W4386065379","https://openalex.org/W4386066359","https://openalex.org/W4386071490","https://openalex.org/W4386075992","https://openalex.org/W4386076215","https://openalex.org/W4389666120","https://openalex.org/W4390871705","https://openalex.org/W4390871762","https://openalex.org/W4402667896","https://openalex.org/W6631190155","https://openalex.org/W6764040762","https://openalex.org/W6779841522","https://openalex.org/W6781421651","https://openalex.org/W6790818473","https://openalex.org/W6791353385","https://openalex.org/W6797852566","https://openalex.org/W6802987763","https://openalex.org/W6810684558","https://openalex.org/W6839182500","https://openalex.org/W6843813467","https://openalex.org/W6845207049","https://openalex.org/W6845852564","https://openalex.org/W6851053448","https://openalex.org/W6859786173"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2393825039","https://openalex.org/W2244018504","https://openalex.org/W2951694738","https://openalex.org/W3036977332","https://openalex.org/W4242046654","https://openalex.org/W2352220358","https://openalex.org/W2161831747","https://openalex.org/W1974126222"],"abstract_inverted_index":{"Neural":[0],"Radiance":[1],"Field":[2],"(NeRF)":[3],"has":[4],"achieved":[5],"substantial":[6],"progress":[7],"in":[8,85,207],"novel":[9,65,102],"view":[10,39,66,193],"synthesis":[11,67],"given":[12,133],"multi-view":[13],"images.":[14],"Recently,":[15],"some":[16],"works":[17],"have":[18],"attempted":[19],"to":[20,49,112,119,186],"train":[21],"a":[22,25,35,41,63,71,77,86,101,108,115,120,127,134,148,154,176,191,208,221],"NeRF":[23,155],"from":[24,76,163,169],"single":[26,78,135],"image":[27,93],"with":[28,40,54,142],"3D":[29,83,121,140,248],"priors.":[30],"They":[31],"mainly":[32],"focus":[33],"on":[34,218],"limited":[36],"field":[37,75],"of":[38,205,228],"few":[42],"occlusions,":[43],"which":[44,166],"greatly":[45],"limits":[46],"their":[47],"scalability":[48],"real-world":[50,241],"360-degree":[51,64,116],"panoramic":[52,72,128],"scenarios":[53],"large-size":[55],"occlusions.":[56],"In":[57],"this":[58,97],"paper,":[59],"we":[60,99,124,146,181],"present":[61],"PERF,":[62],"framework":[68,211],"that":[69],"trains":[70],"neural":[73],"radiance":[74],"panorama.":[79],"Notably,":[80],"PERF":[81,230,235],"allows":[82],"roaming":[84],"complex":[87],"scene":[88,118,249],"without":[89],"expensive":[90],"and":[91,107,137,160,175,194,212,220,247],"tedious":[92],"collection.":[94],"To":[95],"achieve":[96,213],"goal,":[98],"propose":[100],"collaborative":[103,149],"RGBD":[104,150],"inpainting":[105,151],"method":[106,111],"progressive":[109],"inpainting-and-erasing":[110,184],"lift":[113],"up":[114],"2D":[117],"scene.":[122],"Specifically,":[123],"first":[125],"predict":[126],"depth":[129,161,178],"map":[130],"as":[131,244],"initialization":[132],"panorama":[136],"reconstruct":[138],"visible":[139],"regions":[141],"volume":[143],"rendering.":[144],"Then":[145],"introduce":[147,182],"approach":[152],"into":[153,202],"for":[156,240],"completing":[157],"RGB":[158,171],"images":[159],"maps":[162],"random":[164],"views,":[165],"is":[167],"derived":[168],"an":[170,183],"Stable":[172],"Diffusion":[173],"model":[174],"monocular":[177],"estimator.":[179],"Finally,":[180],"strategy":[185],"avoid":[187],"inconsistent":[188],"geometry":[189],"between":[190],"newly-sampled":[192],"reference":[195],"views.":[196],"The":[197],"two":[198],"components":[199],"are":[200],"integrated":[201],"the":[203,226],"learning":[204],"NeRFs":[206],"unified":[209],"optimization":[210],"promising":[214],"results.":[215],"Extensive":[216],"experiments":[217],"Replica":[219],"new":[222],"dataset":[223],"PERF-in-the-wild":[224],"demonstrate":[225],"superiority":[227],"our":[229],"over":[231],"state-of-the-art":[232],"methods.":[233],"Our":[234],"can":[236],"be":[237],"widely":[238],"used":[239],"applications,":[242],"such":[243],"panorama-to-3D,":[245],"text-to-3D,":[246],"stylization":[250],"applications.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}