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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260805T205602Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260720T142000
DTEND;TZID=America/Los_Angeles:20260720T143000
UID:siggraph_SIGGRAPH 2026_sess137_papers_103@linklings.com
SUMMARY:Gaussian Point Splatting
DESCRIPTION:Joris Rijsdijk, Christoph Peters, Michael Weinmann, and Ricard
 o Marroquim (Delft University of Technology)\n\nWe propose Gaussian point 
 splatting, a stochastic method for rendering massive 3DGS scenes. By sampl
 ing pixel-sized opaque points, splatting them atomically, and applying sto
 chastic transparency, we eliminate the need for sorting. Our approach dist
 ributes workload evenly across GPU threads, enabling the real-time display
  of hundreds of millions of Gaussians efficiently.\n\nInterest Area: Resea
 rch & Education\n\nKeyword: Artificial Intelligence/Machine Learning, Geom
 etry, Modeling, Real-Time, Rendering\n\nRegistration Category: Full Confer
 ence Supporter, Full Conference\n\nSession Chair: Young Min Kim (Seoul Nat
 ional University)\n\n
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