Campus Event Calendar
Event Entry
What and Who
Efficient Monte Carlo Rendering Techniques
Wojciech Jarosz
University of California, San Diego
Talk
Wojciech Jarosz is a Post-doctoral researcher at the University of
California, San Diego. His main research focus is on Monte Carlo
rendering techniques, including advanced sampling, production-quality
global illumination, and participating media. His current list of
publications includes three SIGGRAPH papers on these topics. He
received his B.S. in computer science from the University of Illinois
at Urbana-Champaign in 2003 and his M.S. and Ph.D. in computer science
from the University of California, San Diego in 2006 and 2008.
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, RG2
AG Audience
English
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Date, Time and Location
Wednesday, 15 October 2008
14:00
-- Not specified --
E1 4
024
Saarbrücken
Abstract
The overarching goal of physically-based rendering research is
constructing efficient, robust and flexible algorithms for simulating
the behavior of the natural world. In this talk I will discuss two
areas of my research in developing more efficient Monte Carlo
rendering techniques. First, I will discuss two novel techniques for
simulating light transport in scattering media. Volumetric radiance
caching and beam radiance estimation are general, robust,
complementary, and they provide orders of magnitude speedup over
previous approaches. I will also present two improved sampling
techniques for stochastic ray tracing. Multidimensional adaptive
sampling and wavelet importance sampling distribute sample rays more
intelligently during rendering, providing significant noise reduction
and faster render times. Finally, I will conclude with some
possibilities avenues for future work.
constructing efficient, robust and flexible algorithms for simulating
the behavior of the natural world. In this talk I will discuss two
areas of my research in developing more efficient Monte Carlo
rendering techniques. First, I will discuss two novel techniques for
simulating light transport in scattering media. Volumetric radiance
caching and beam radiance estimation are general, robust,
complementary, and they provide orders of magnitude speedup over
previous approaches. I will also present two improved sampling
techniques for stochastic ray tracing. Multidimensional adaptive
sampling and wavelet importance sampling distribute sample rays more
intelligently during rendering, providing significant noise reduction
and faster render times. Finally, I will conclude with some
possibilities avenues for future work.
Contact
Prof. P. Slusallek
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Christina Fries, 10/14/2008 13:41 -- Created document.