{"id":"https://openalex.org/W7138969891","doi":"https://doi.org/10.48550/arxiv.2603.17571","title":"PanoVGGT: Feed-Forward 3D Reconstruction from Panoramic Imagery","display_name":"PanoVGGT: Feed-Forward 3D Reconstruction from Panoramic Imagery","publication_year":2026,"publication_date":"2026-03-18","ids":{"openalex":"https://openalex.org/W7138969891","doi":"https://doi.org/10.48550/arxiv.2603.17571"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.17571","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17571","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.17571","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129979668","display_name":"Yijing Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guo, Yijing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116721695","display_name":"Mengjun Chao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao, Mengjun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368243","display_name":"Luo Wang","orcid":"https://orcid.org/0000-0001-7065-2504"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Luo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130093096","display_name":"Tianyang Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Tianyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046899495","display_name":"Haizhao Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Haizhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001933895","display_name":"Yingliang Zhang","orcid":"https://orcid.org/0000-0002-0594-7549"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yingliang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130197792","display_name":"Jingyi Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Jingyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129977859","display_name":"Yujiao Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yujiao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5129979668"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":0.6467000246047974,"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":0.6467000246047974,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.20440000295639038,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.06589999794960022,"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/point-cloud","display_name":"Point cloud","score":0.5935999751091003},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5609999895095825},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.49950000643730164},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.44209998846054077},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4293000102043152},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3978999853134155},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.37880000472068787},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.36739999055862427}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7587000131607056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275999784469604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708299994468689},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5935999751091003},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5609999895095825},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.49950000643730164},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.36739999055862427},{"id":"https://openalex.org/C2779989122","wikidata":"https://www.wikidata.org/wiki/Q15889487","display_name":"Perspective distortion","level":3,"score":0.34700000286102295},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C99404194","wikidata":"https://www.wikidata.org/wiki/Q163362","display_name":"Vanishing point","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.29910001158714294},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.17571","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17571","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":"doi:10.48550/arxiv.2603.17571","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17571","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Panoramic":[0],"imagery":[1],"offers":[2],"a":[3,44,65,76,98,109],"full":[4],"360\u00b0":[5],"field":[6],"of":[7],"view":[8],"and":[9,26,55,75,117,125,136,141],"is":[10],"increasingly":[11],"common":[12],"in":[13,64,86],"consumer":[14],"devices.":[15],"However,":[16],"it":[17],"introduces":[18],"non-pinhole":[19],"distortions":[20],"that":[21,48,129],"challenge":[22],"joint":[23],"pose":[24,119],"estimation":[25],"3D":[27,56],"reconstruction.":[28],"Existing":[29],"feed-forward":[30],"models,":[31],"built":[32],"for":[33],"perspective":[34],"cameras,":[35],"generalize":[36],"poorly":[37],"to":[38],"this":[39],"setting.":[40],"We":[41],"propose":[42],"PanoVGGT,":[43],"permutation-equivariant":[45],"Transformer":[46],"framework":[47],"jointly":[49],"predicts":[50],"camera":[51],"poses,":[52],"depth":[53,116],"maps,":[54],"point":[57],"clouds":[58],"from":[59],"one":[60],"or":[61],"multiple":[62],"panoramas":[63],"single":[66],"forward":[67],"pass.":[68],"The":[69],"model":[70],"incorporates":[71],"spherical-aware":[72],"positional":[73],"embeddings":[74],"panorama-specific":[77],"three-axis":[78],"SO(3)":[79],"rotation":[80],"augmentation,":[81],"enabling":[82],"effective":[83],"geometric":[84],"reasoning":[85],"the":[87],"spherical":[88],"domain.":[89],"To":[90],"resolve":[91],"inherent":[92],"global-frame":[93],"ambiguity,":[94],"we":[95,106],"further":[96],"introduce":[97],"stochastic":[99],"anchoring":[100],"strategy":[101],"during":[102],"training.":[103],"In":[104],"addition,":[105],"contribute":[107],"PanoCity,":[108],"large-scale":[110],"outdoor":[111],"panoramic":[112],"dataset":[113,142],"with":[114],"dense":[115],"6-DoF":[118],"annotations.":[120],"Extensive":[121],"experiments":[122],"on":[123],"PanoCity":[124],"standard":[126],"benchmarks":[127],"demonstrate":[128],"PanoVGGT":[130],"achieves":[131],"competitive":[132],"accuracy,":[133],"strong":[134],"robustness,":[135],"improved":[137],"cross-domain":[138],"generalization.":[139],"Code":[140],"will":[143],"be":[144],"released.":[145]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}