Technical Papers

Real-Time Rendering Hardware

Thursday, 11 August 3:45 pm - 5:15 pm | East Building, Exhibit Hall A
Session Chair: Bill Mark, Intel Corporation

Clipless Dual-Space Bounds for Faster Stochastic Rasterization

A novel method for increasing the efficiency of stochastic rasterization of motion and defocus blur. Contrary to earlier approaches, the method is efficient even with the low sampling densities commonly encountered in real-time rendering, while allowing the use of arbitrary sampling patterns for optimum image quality.

Samuli Laine
NVIDIA Research

Timo Aila
NVIDIA Research

Tero Karras
NVIDIA Research

Jaakko Lehtinen
NVIDIA Research

Decoupled Sampling for Graphics Pipelines

A generalized approach to decoupling shading from both visibility and geometry sampling in graphics pipelines. The technique enables stochastic supersampling of motion and defocus blur and other effects at reduced shading cost, without requiring micropolygon rendering. It can be thought of as a generalization of GPU-style multi-sample anti-aliasing (MSAA).

Jonathan Ragan-Kelley
MIT CSAIL

Jaakko Lehtinen
MIT CSAIL

Jiawen Chen
MIT CSAIL

Michael Doggett
Lunds universitet

Frédo Durand
MIT CSAIL

Spark: Modular, Composable Shaders for Graphics Hardware

Spark improves on current real-time shading languages by supporting better software development practices. It allows the logical features of a real-time shader to be expressed as independent, composable modules, even where a feature cross-cuts multiple stages of the rendering pipeline.

Tim Foley
Intel Corporation and Stanford University

Pat Hanrahan
Stanford University

Physically Based Real-Time Lens Flare Rendering

An efficient method to render lens flare of complex optical systems. Based on a combination of traditional ray tracing and rasterization, our technique captures the intricate dynamics of real flare phenomena, while spanning a continuum between accuracy and performance, physical realism and artistic expression.

Matthias Hullin
Max-Planck-Institut für Informatik

Elmar Eisemann
École d'Ingénieurs Télécom ParisTech

Hans-Peter Seidel
Max-Planck-Institut für Informatik

Sungkil Lee
Sungkyunkwan University