{"id":"https://openalex.org/W7161826130","doi":"https://doi.org/10.48550/arxiv.2605.19656","title":"Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images","display_name":"Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161826130","doi":"https://doi.org/10.48550/arxiv.2605.19656"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.19656","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19656","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.2605.19656","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094216822","display_name":"Matias Turkulainen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Turkulainen, Matias","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136524613","display_name":"Akshay Krishnan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krishnan, Akshay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056595258","display_name":"Filippo Aleotti","orcid":"https://orcid.org/0000-0002-8911-3241"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleotti, Filippo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128371016","display_name":"Mohamed Sayed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sayed, Mohamed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016559942","display_name":"Guillermo Garcia-Hernando","orcid":"https://orcid.org/0000-0003-3215-7857"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garcia-Hernando, Guillermo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136571324","display_name":"Juho Kannala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kannala, Juho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014200248","display_name":"Arno Solin","orcid":"https://orcid.org/0000-0002-0958-7886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Solin, Arno","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136558552","display_name":"Gabriel Brostow","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brostow, Gabriel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034550765","display_name":"Daniyar Turmukhambetov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Turmukhambetov, Daniyar","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/T10036","display_name":"Advanced Neural Network Applications","score":0.1704999953508377,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.1704999953508377,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.14249999821186066,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.1282999962568283,"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/georeference","display_name":"Georeference","score":0.7724999785423279},{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.6991999745368958},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5561000108718872},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5541999936103821},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5231000185012817},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4196999967098236},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4065999984741211},{"id":"https://openalex.org/keywords/photogrammetry","display_name":"Photogrammetry","score":0.36570000648498535},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3578999936580658}],"concepts":[{"id":"https://openalex.org/C75145180","wikidata":"https://www.wikidata.org/wiki/Q772007","display_name":"Georeference","level":2,"score":0.7724999785423279},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.6991999745368958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832000017166138},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6373000144958496},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5561000108718872},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5541999936103821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5455999970436096},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5231000185012817},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4884999990463257},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35659998655319214},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.29319998621940613},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.2786000072956085},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C123046963","wikidata":"https://www.wikidata.org/wiki/Q22664","display_name":"Geographic coordinate system","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C176262533","wikidata":"https://www.wikidata.org/wiki/Q4688034","display_name":"Aerial survey","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C42629822","wikidata":"https://www.wikidata.org/wiki/Q1346408","display_name":"Geocoding","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.19656","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19656","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.2605.19656","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19656","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":[{"display_name":"Sustainable cities and communities","score":0.6585973501205444,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,100,115],"present":[1],"Cross-View":[2,60],"Splatter,":[3],"a":[4,48,75,120],"feed-forward":[5],"method":[6,118],"that":[7,52],"predicts":[8],"pixel-aligned":[9],"Gaussian":[10,72],"splats":[11,73],"for":[12,39,123],"outdoor":[13,41],"scenes":[14],"captured":[15],"at":[16,37,143],"ground":[17,29,68,82,97],"level":[18],"AND":[19],"by":[20],"satellite.":[21],"Faithful":[22],"reconstructions":[23],"require":[24],"good":[25],"camera":[26],"coverage,":[27],"but":[28],"imagery":[30,45,98,128],"is":[31,53],"time-consuming":[32],"and":[33,83,92,106,137],"hard":[34],"to":[35,55,70,96,131],"capture":[36],"scale":[38],"large":[40],"scenes.":[42],"Fortunately,":[43],"satellite":[44,64],"can":[46],"provide":[47],"global":[49],"geometric":[50],"prior":[51,132],"easy":[54],"access":[56],"via":[57],"public":[58],"APIs.":[59],"Splatter":[61],"fuses":[62],"orthorectified":[63],"views":[65],"with":[66,126],"GPS-tagged":[67],"photos":[69],"predict":[71],"in":[74],"unified":[76],"3D":[77],"coordinate":[78],"frame.":[79],"By":[80],"aligning":[81],"bird's-eye":[84],"feature":[85],"representations,":[86],"our":[87,117],"model":[88],"improves":[89],"scene":[90],"coverage":[91],"novel-view":[93,124],"synthesis,":[94],"compared":[95],"alone.":[99],"train":[101],"on":[102,119],"curated":[103],"georeferenced":[104,127],"datasets":[105],"paired":[107],"satellite-terrain":[108],"data,":[109],"mined":[110],"from":[111],"open":[112],"mapping":[113],"services.":[114],"evaluate":[116],"new":[121],"benchmark":[122],"synthesis":[125],"allowing":[129],"comparison":[130],"state-of-the-art":[133],"methods.":[134],"Our":[135],"code":[136],"data":[138],"preparation":[139],"will":[140],"be":[141],"available":[142],"https://nianticspatial.github.io/cross-view-splatter/.":[144]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-21T00:00:00"}
