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BEGIN:VEVENT
DTSTAMP:20250522T212741Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_1000@linklings.com
SUMMARY:N-Dimensional Gaussians for Fitting of High Dimensional Functions
DESCRIPTION:Stavros Diolatzis, Tobias Zirr, and Alexander Kuznetsov (Intel
  Labs); Georgios Kopanas (INRIA, Université Côte d'Azur); and Anton Kaplan
 yan (Intel Labs)\n\nWe propose the use of N-Dimensional Gaussian mixtures 
 to fit high dimensional functions, applicable to various applications such
  as neural global illumination and novel view synthesis for complex anisot
 ropic effects. Our method offers quality similar to implicit methods with 
 orders of magnitude faster training as we demonstrate in two applications.
 \n\nInterest Area: Arts & Design, Production & Animation, Research & Educa
 tion\n\nRecording: Livestreamed, Recorded\n\nRegistration Category: Full C
 onference, Full Conference Supporter, Virtual Access, Experience, Exhibito
 r Full Conference, Exhibitor Experience, Sunday\n\n
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