{"id":"https://openalex.org/W7167216569","doi":"https://doi.org/10.48550/arxiv.2607.02099","title":"X-Splat: Gaussian Splatting for 3D CBCT Generation from Single Panoramic Radiograph","display_name":"X-Splat: Gaussian Splatting for 3D CBCT Generation from Single Panoramic Radiograph","publication_year":2026,"publication_date":"2026-07-02","ids":{"openalex":"https://openalex.org/W7167216569","doi":"https://doi.org/10.48550/arxiv.2607.02099"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.02099","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02099","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.2607.02099","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139975747","display_name":"Tomasz Szczepa\u0144ski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Szczepa\u0144ski, Tomasz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136320733","display_name":"Szymon P\u0142otka","orcid":"https://orcid.org/0000-0001-9411-820X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P\u0142otka, Szymon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053661052","display_name":"Michal K. Grzeszczyk","orcid":"https://orcid.org/0000-0002-5304-1020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grzeszczyk, Michal K.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133616355","display_name":"Tomasz Trzci\u0144ski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trzci\u0144ski, Tomasz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080126237","display_name":"Arkadiusz Sitek","orcid":"https://orcid.org/0000-0002-0677-4002"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sitek, Arkadiusz","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/T11363","display_name":"Dental Radiography and Imaging","score":0.734000027179718,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.734000027179718,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.06469999998807907,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.038600001484155655,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.527400016784668},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.42809998989105225},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4198000133037567},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.3625999987125397},{"id":"https://openalex.org/keywords/panoramic-radiograph","display_name":"Panoramic radiograph","score":0.3513999879360199},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.3492000102996826},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.3411000072956085},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3330000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408999800682068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6953999996185303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6632000207901001},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.527400016784668},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.42809998989105225},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4198000133037567},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C100548800","wikidata":"https://www.wikidata.org/wiki/Q743868","display_name":"Panoramic radiograph","level":3,"score":0.3513999879360199},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3330000042915344},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3188999891281128},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.29919999837875366},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2881999909877777},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.2705000042915344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2540999948978424},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.02099","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02099","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.2607.02099","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02099","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":[],"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":[1,6,13,37,87,98,119],"3D":[2,30,83],"dental":[3,84],"volume":[4],"from":[5,86],"single":[7,88,120],"panoramic":[8,27,94],"radiograph":[9],"(PXR)":[10],"could":[11],"provide":[12],"low-radiation":[14],"alternative":[15],"to":[16,66,201],"Cone-Beam":[17],"Computed":[18],"Tomography":[19],"(CBCT),":[20],"but":[21],"the":[22,75,92,108,113,142,147,170,194],"problem":[23],"is":[24],"highly":[25],"underdetermined:":[26],"acquisition":[28,95],"integrates":[29],"attenuation":[31],"along":[32,107],"curved":[33],"X-ray":[34,109],"paths":[35,110],"into":[36],"2D":[38],"image,":[39],"leaving":[40],"depth-resolved":[41],"anatomy":[42],"unobserved.":[43],"Existing":[44],"implicit":[45],"and":[46,60,116,127,182,190],"generative":[47],"approaches":[48],"often":[49],"produce":[50],"oversmoothed":[51],"geometry":[52,96,143],"or":[53],"anatomically":[54],"inconsistent":[55],"hallucinations,":[56],"lacking":[57],"geometry-driven":[58],"supervision":[59,158],"relying":[61],"on":[62,151],"smooth":[63],"representations":[64],"unable":[65],"precisely":[67],"localize":[68],"sharp":[69],"anatomical":[70,138],"boundaries.":[71],"We":[72,149,163],"propose":[73],"X-Splat,":[74],"first":[76,171],"Gaussian":[77,103],"Splatting":[78],"framework":[79],"for":[80],"generating":[81],"CBCT-like":[82],"volumes":[85],"PXR.":[89],"X-Splat":[90,179],"uses":[91],"known":[93],"as":[97],"generation":[99,175],"scaffold:":[100],"learnable":[101],"anisotropic":[102],"primitives":[104],"are":[105],"initialized":[106],"that":[111],"formed":[112],"input":[114],"image":[115],"adjusted":[117],"in":[118],"feed-forward":[121],"pass,":[122],"constrained":[123],"by":[124,146],"Beer-Lambert":[125],"reprojection":[126],"multi-view":[128],"radiographic":[129],"training":[130],"supervision.":[131],"A":[132],"lightweight":[133],"residual":[134],"refiner":[135],"adds":[136],"dataset-level":[137],"priors":[139],"without":[140,159],"overriding":[141],"already":[144],"resolved":[145],"Gaussians.":[148],"train":[150],"synthetic":[152],"PXR-CBCT":[153],"pairs,":[154],"enabling":[155],"direct":[156],"volumetric":[157],"paired":[160],"real":[161],"scans.":[162],"further":[164],"introduce":[165],"segmentation-based":[166],"geometry-aware":[167],"metrics,":[168],"providing":[169],"evaluation":[172],"of":[173],"PXR-based":[174],"over":[176],"maxillofacial":[177],"anatomy.":[178],"outperforms":[180],"NeRF-":[181],"GAN-based":[183],"baselines,":[184],"recovering":[185],"individual":[186],"teeth,":[187],"cortical":[188],"boundaries,":[189],"alveolar":[191],"structure,":[192],"including":[193],"mandibular":[195],"canal":[196],"which":[197],"prior":[198],"methods":[199],"fail":[200],"reconstruct.":[202],"Code":[203],"will":[204],"be":[205],"available":[206],"at":[207],"https://github.com/tomek1911/X-Splat":[208]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-04T00:00:00"}