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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240731T161500
DTEND;TZID=America/Denver:20240731T162500
UID:siggraph_SIGGRAPH 2024_sess102_paperstog_103@linklings.com
SUMMARY:Online Neural Path Guiding with Normalized Anisotropic Spherical G
 aussians
DESCRIPTION:Jiawei Huang (Chuzhou University, Void Dimensions); Akito Iizu
 ka and Hajime Tanaka (Tohoku University); Taku Komura (University of Hong 
 Kong); Yoshifumi Kitamura (Tohoku University); and Jiawei Huang\n\nWe prop
 ose a online framework to learn the spatial-varying distribution of the fu
 ll product of the rendering equation, with a single small neural network u
 sing stochastic ray samples, and a novel, expressive, closed-form density 
 model called the Normalized Anisotropic Spherical Gaussian mixture.\n\nInt
 erest Area: Research & Education\n\nRecording: Livestreamed, Recorded\n\nK
 eyword: Rendering\n\nRegistration Category: Full Conference, Full Conferen
 ce Supporter, Virtual Access, Exhibitor Full Conference, Wednesday\n\nSess
 ion Chair: Gurprit Singh (Max Planck Institute for Informatics)\n\n
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