Quasi-Monte Carlo image synthesis in a nutshell

A Keller - Monte Carlo and Quasi-Monte Carlo Methods 2012, 2013 - Springer
This self-contained tutorial surveys the state of the art in quasi-Monte Carlo rendering
algorithms as used for image synthesis in the product design and movie industry. Based on …

Source characterization of atmospheric releases using stochastic search and regularized gradient optimization

B Addepalli, K Sikorski, ER Pardyjak… - Inverse Problems in …, 2011 - Taylor & Francis
In this work, an inversion technique comprising stochastic search and regularized gradient
optimization is used to solve the atmospheric source characterization problem. The inverse …

[PDF][PDF] Source characterization of atmospheric releases using quasi-random sampling and regularized gradient optimization

B Addepalli, C Sikorski, ER Pardyjak - 2009 - users.cs.utah.edu
In the present work, an inversion technique to solve the atmospheric source characterization
problem is described. The inverse problem comprises characterizing the source (x, y and z …

Textures on Rank‐1 Lattices

S Dammertz, H Dammertz, A Keller… - Computer Graphics …, 2009 - Wiley Online Library
Storing textures on orthogonal tensor product lattices is predominant in computer graphics,
although it is known that their sampling efficiency is not optimal. In two dimensions, the …

[PDF][PDF] Quasi-Monte Carlo Image Synthesis in a Nutshell

A Keller - nizer)• Gerhard Larcher, Johannes Kepler University …, 2014 - Citeseer
This self-contained tutorial surveys the state of the art in quasi-Monte Carlo rendering
algorithms as used for image synthesis in the product design and movie industry. Based on …

Quasi-Monte Carlo, Monte Carlo, and regularized gradient optimization methods for source characterization of atmospheric releases

K Sikorski, B Addepalli, ER Pardyjak, M Zhdanov - 2009 - drops.dagstuhl.de
An inversion technique based on MC/QMC search and regularized gradient optimization
was developed to solve the atmospheric source characterization problem. The Gaussian …