If you missed SIGGRAPH 2017 watch a selection of recorded Live Streaming Sessions.
Random Sampling
If you missed SIGGRAPH 2017 watch a selection of recorded Live Streaming Sessions.
Monte Carlo integration in graphics uses anisotropic samplers, but there are currently no tools available to analyze the impact of such anisotropic samplers on variance-convergence behavior. This paper proposes a mathematical tool that allows analysis of the variance, and subsequently the convergence rate, of Monte Carlo integration using any anisotropic-sampling power spectrum.
Gurprit Singh
Dartmouth College
Wojciech Jarosz
Dartmouth College
This paper presents a multi-class blue-noise sampling algorithm by throwing samples as the Wasserstein barycenter of density distributions. It breaks the regularity of previous CCVT methods via the entropy regularization.
Hongxing Qin
Chongqing University of Posts and Communications
Yi Chen
Chongqing University of Posts and Communications
Jinlong He
Chongqing University of Posts and Communications
Baoquan Chen
Shandong University
Introducing ART, a technique to generate (A)daptive blue noise sets using a multi-resolution lattice of (R)egular (T)iles.
Abdalla Ahmed
Universität Konstanz
Till Niese
Universität Konstanz
Hui Huang
Shenzhen University
Oliver Deussen
Shenzhen Institute of Advanced Technology, University of Konstanz
These novel spherical distributions can be integrated, sampled analytically against spherical caps, and exploited to improve the speed and quality of sphere lighting in the context of both real-time and offline rendering.
Jonathan Dupuy
Unity Technologies
Eric Heitz
Unity Technologies
Laurent Belcour
Unity Technologies
