BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260805T205559Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260723T140000
DTEND;TZID=America/Los_Angeles:20260723T141000
UID:siggraph_SIGGRAPH 2026_sess136_papers_439@linklings.com
SUMMARY:Graphical X Splatting (GraphiXS): A Graphical Model for 4D Gaussia
 n Splatting under Uncertainty
DESCRIPTION:Doga Yilmaz (University College London (UCL)); Jialin Zhu (Bai
 du Research); Deshan Gong (The University of Hong Kong); and He Wang (Univ
 ersity College London (UCL), University of Leeds)\n\nGraphical X Splatting
  (GraphiXS) is a novel probabilistic framework for systematically modellin
 g data uncertainty in 4D Gaussian Splatting. It handles various types of s
 patial and temporal sparsity, including missing frames and sparse viewpoin
 ts, and generalizes across diverse primitives. Extensive evaluations show 
 that GraphiXS outperforms existing methods across a range of sparse data s
 cenarios.\n\nInterest Area: Research & Education\n\nKeyword: Artificial In
 telligence/Machine Learning, Geometry, Modeling, Rendering\n\nRegistration
  Category: Full Conference Supporter, Full Conference\n\nSession Chair: Ra
 fał K. Mantiuk (University of Cambridge, Meta)\n\n
END:VEVENT
END:VCALENDAR