the 43rd international conference and exhibition on
24-28 July
Anaheim, California
A method that improves the visual fidelity of Monte Carlo renderings without increasing the sampling effort. By correlating the samples between pixels using specially constructed blue-noise matrices, the method minimizes the low-frequency content in the distribution of the approximation error, thereby reducing the perceptual error of the image.
Iliyan Georgiev
Solid Angle S.L.
Marcos Fajardo
Solid Angle S.L.
Introducing a cache-friendly micro-jittered technique for faster multi-dimensional Monte Carlo integration in parallel ray tracing engines. The method is simple and compatible with any low-discrepancy sequences, and it can drastically reduce rendering times of GPU (even CPU) path tracers or any stochastic ray-based renderers.
Arthur Dufay
Technicolor, LP2N (CNRS)
Pascal Lecocq
Technicolor
Jean-Eudes Marvie
Technicolor
Romain Pacanowski
LP2N (CNRS)
Xavier Granier
LP2N (CNRS)
By exploring the continuum of order-independent transparency techniques, NVIDIA identified a new algorithm that selects benefits from both stochastic transparency and k-buffering. Stochastic layered alpha blending provides faster consistent and unbiased convergence, and an explicit parameter that reduces noise in exchange for adding bias.
Chris Wyman
NVIDIA Corporation
With a focus on practical use of near-future quantum logic devices in computer graphics, this project implements a qubit-based supersampling technique with advantages over Monte Carlo estimation, designed for physical fabrication as an integrated-silicon photonic device.
Eric Johnston
University of Bristol, Solid Angle