{"id":"https://openalex.org/W7161710569","doi":"https://doi.org/10.48550/arxiv.2605.17916","title":"PanoWorld: A Generative Spatial World Model for Consistent Whole-House Panorama Synthesis","display_name":"PanoWorld: A Generative Spatial World Model for Consistent Whole-House Panorama Synthesis","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161710569","doi":"https://doi.org/10.48550/arxiv.2605.17916"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.17916","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17916","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.17916","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136459076","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":"middle","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/A5136504262","display_name":"Yijiang Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yijiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136468073","display_name":"Yifeng 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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.23980000615119934,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.23980000615119934,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.16590000689029694,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.16050000488758087,"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/panorama","display_name":"Panorama","score":0.6049000024795532},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.4551999866962433},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.4223000109195709},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.3763999938964844},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3479999899864197},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3449000120162964},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.3424000144004822},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.34049999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333999872207642},{"id":"https://openalex.org/C2780580889","wikidata":"https://www.wikidata.org/wiki/Q41363","display_name":"Panorama","level":2,"score":0.6049000024795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630999803543091},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5001000165939331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4862000048160553},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.4551999866962433},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3449000120162964},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.17916","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17916","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.17916","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17916","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6912074685096741}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generating":[0],"a":[1,7,52,80,85,90],"consistent":[2],"whole-house":[3,59],"VR":[4,75],"tour":[5,76],"from":[6,145],"floorplan":[8],"and":[9,16,30,42,89,159],"style":[10],"reference":[11],"requires":[12],"both":[13],"photorealistic":[14],"panoramas":[15,26,112],"cross-view":[17],"spatial":[18,54,98],"coherence.":[19],"Pure":[20],"2D":[21,152],"generators":[22],"produce":[23],"appealing":[24],"single":[25],"but":[27],"re-imagine":[28],"geometry":[29,143],"materials":[31],"when":[32],"the":[33,69,137],"viewpoint":[34],"changes,":[35],"whereas":[36],"monolithic":[37],"3D":[38,82,92],"generation":[39,63],"becomes":[40],"expensive":[41],"loses":[43],"fine":[44],"texture":[45],"at":[46],"multi-room":[47,107],"scale.":[48],"We":[49],"introduce":[50],"PanoWorld,":[51],"generative":[53],"world":[55],"model":[56],"that":[57],"treats":[58],"synthesis":[60,153],"as":[61,84,96],"autoregressive":[62],"of":[64],"node-based":[65],"360-degree":[66,108],"panoramas,":[67],"matching":[68],"discrete":[70],"navigation":[71],"used":[72],"by":[73],"real":[74],"products.":[77],"PanoWorld":[78,149],"uses":[79],"floorplan-derived":[81],"shell":[83],"global":[86],"geometric":[87],"proxy":[88],"dynamic":[91],"Gaussian":[93],"Splatting":[94],"cache":[95],"renderable":[97],"memory.":[99],"A":[100,125],"feed-forward":[101],"panoramic":[102],"LRM":[103],"designed":[104],"for":[105],"metric-scale":[106],"inputs":[109],"lifts":[110],"generated":[111],"into":[113],"local":[114,132],"3DGS":[115],"updates,":[116],"while":[117,155],"Room-aware":[118],"Group":[119],"Attention":[120],"suppresses":[121],"cross-room":[122],"feature":[123],"interference.":[124],"topology-aware":[126],"progressive":[127],"caching":[128],"strategy":[129],"fuses":[130],"these":[131],"updates":[133],"without":[134],"repeatedly":[135],"reconstructing":[136],"full":[138],"history.":[139],"By":[140],"decoupling":[141],"shell-based":[142],"guidance":[144],"cache-rendered":[146],"visual":[147],"memory,":[148],"preserves":[150],"high-frequency":[151],"quality":[154],"improving":[156],"cross-node":[157],"layout":[158],"material":[160],"consistency.":[161],"The":[162],"project":[163],"link":[164],"is":[165],"https://jjrcn.github.io/PanoWorld-project-home/":[166]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-20T00:00:00"}
