{"id":"https://openalex.org/W7167068818","doi":"https://doi.org/10.48550/arxiv.2607.00832","title":"Pano2World: End-to-End 3D Generation via Unified Multi-View Sequences","display_name":"Pano2World: End-to-End 3D Generation via Unified Multi-View Sequences","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7167068818","doi":"https://doi.org/10.48550/arxiv.2607.00832"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.00832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.00832","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058552039","display_name":"Zhenjia Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhenjia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139856754","display_name":"Jinrang Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Jinrang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100902783","display_name":"Y Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yifeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":0.7753999829292297,"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":0.7753999829292297,"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":0.0812000036239624,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.03620000183582306,"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/panorama","display_name":"Panorama","score":0.8658000230789185},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5223000049591064},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5094000101089478},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.4948999881744385},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4343999922275543},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41449999809265137},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4007999897003174},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.39399999380111694},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.38940000534057617},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.3799000084400177}],"concepts":[{"id":"https://openalex.org/C2780580889","wikidata":"https://www.wikidata.org/wiki/Q41363","display_name":"Panorama","level":2,"score":0.8658000230789185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294999957084656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7257999777793884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6991000175476074},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5223000049591064},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5094000101089478},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.4948999881744385},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41449999809265137},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.38940000534057617},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.351500004529953},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.32589998841285706},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2768000066280365},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2754000127315521},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.25859999656677246},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.2556999921798706},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.25429999828338623},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.00832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.00832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"single":[1,27,101],"panorama":[2,28,103,167],"captures":[3],"the":[4,55,69,78,116,173,182,188,198,225,239],"full":[5],"visual":[6],"sphere":[7],"from":[8,91,163,172],"one":[9],"camera":[10],"center,":[11],"yet":[12,77],"confines":[13],"users":[14],"to":[15,53,59,82,135,197],"looking":[16],"around":[17],"in":[18,88],"place":[19],"without":[20],"enabling":[21],"true":[22],"scene":[23,220],"exploration.":[24],"Converting":[25],"a":[26,30,100,109,122,141,208,219],"into":[29,218,224],"persistent,":[31,110],"renderable":[32],"3D":[33,112,124,227],"representation":[34],"for":[35],"free-viewpoint":[36],"navigation":[37],"has":[38],"attracted":[39],"growing":[40],"interest;":[41],"existing":[42,236],"methods":[43,237],"either":[44],"adopt":[45],"iterative":[46],"per-view":[47],"completion":[48],"that":[49,212,232],"propagates":[50],"inpainting":[51],"results":[52],"update":[54],"underlying":[56],"geometry,":[57],"leading":[58],"progressive":[60],"error":[61],"accumulation":[62],"and":[63,106,127,168],"cumbersome":[64],"multi-step":[65],"pipelines,":[66],"or":[67],"leverage":[68],"temporal":[70],"consistency":[71],"priors":[72],"of":[73],"video":[74],"generation":[75],"models,":[76],"continuous-trajectory":[79],"constraint":[80],"intrinsic":[81],"such":[83],"models":[84],"limits":[85],"their":[86],"flexibility":[87],"covering":[89],"scenes":[90],"multiple":[92],"directions":[93],"simultaneously.":[94],"We":[95],"present":[96],"Pano2World,":[97],"which":[98],"takes":[99],"indoor":[102],"as":[104],"input":[105],"directly":[107,213],"outputs":[108],"explorable":[111],"Gaussian":[113,125,228],"scene.":[114,229],"Given":[115],"source":[117,174],"panorama,":[118,175],"Pano2World":[119,233],"first":[120],"reconstructs":[121],"coarse":[123],"proxy":[126],"renders":[128],"it":[129],"at":[130],"adaptively":[131],"sampled":[132],"nearby":[133],"poses":[134],"obtain":[136],"geometrically":[137],"aligned":[138],"guidance":[139,166,171],"panoramas;":[140],"panoramic":[142,241],"diffusion":[143],"model":[144],"then":[145],"jointly":[146],"denoises":[147],"all":[148],"target":[149,157],"views":[150],"via":[151,201],"View-Aware":[152],"Attention":[153],"Routing,":[154],"where":[155],"each":[156],"view":[158],"simultaneously":[159],"receives":[160],"geometric":[161],"constraints":[162],"its":[164],"corresponding":[165],"global":[169],"semantic":[170],"naturally":[176],"enforcing":[177],"cross-view":[178],"consistency.":[179],"To":[180],"avoid":[181],"information":[183],"loss":[184],"incurred":[185],"by":[186],"decoding":[187],"multi-view":[189],"hidden":[190,216],"features":[191,217],"formed":[192],"during":[193],"joint":[194],"denoising":[195],"back":[196],"pixel":[199],"domain":[200],"VAE,":[202],"we":[203],"introduce":[204],"Latent":[205],"Feature":[206],"Adapter,":[207],"geometry-aware":[209],"bridge":[210],"module":[211],"distills":[214],"these":[215],"latent,":[221],"subsequently":[222],"decoded":[223],"final":[226],"Experiments":[230],"demonstrate":[231],"significantly":[234],"outperforms":[235],"on":[238],"multi-position":[240],"novel-view":[242],"synthesis":[243],"benchmark.":[244]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-03T00:00:00"}
