Technical Papers

Stochastic Rendering & Visibility

Tuesday, 9 August 10:45 am - 12:15 pm | East Building, Ballroom A/B
Session Chair: Elmar Eisemann, École d'Ingénieurs Télécom ParisTech

High-Quality Spatio-Temporal Rendering Using Semi-Analytical Visibility

This paper presents:

• A novel spatio-temporal anti-aliasing algorithm with essentially noise-free results. Visibility is solved for along line samples in screen space and in time.
• A new method for ambient occlusion based on line samples/ The method can also handle motion-blurred ambient occlusion.

Carl Johan Gribel
Lund University

Rasmus Barringer
Lund University

Tomas Akenine-Möller
Lund University and Intel Corporation

Frequency Analysis and Sheared Filtering for Shadow Light Fields of Complex Occluders

A new frequency analysis and sheared filter for computing shadows cast by complex occluders. The approach uses ray tracing to sparsely sample the scene and a sheared 4D filter to share shadow samples between neighboring pixels.

Kevin Egan
Columbia University

Florian Hecht
University of California, Berkeley

Frédo Durand
MIT CSAIL

Ravi Ramamoorthi
University of California, Berkeley

Temporal Light Field Reconstruction for Rendering Distribution Effects

In this paper, a method for reconstructing high-quality images from sparse stochastic samples is applied to simultaneous motion blur, depth of field, and soft shadows.

Jaakko Lehtinen
NVIDIA Research

Timo Aila
NVIDIA Research

Jiawen Chen
MIT CSAIL

Samuli Laine
NVIDIA Research

Frédo Durand
MIT CSAIL

The Area Perspective Transform: A Homogeneous Transform for Efficient In-Volume Queries

This paper introduces a homogeneous transform that reduces the computation required to determine the set of points or primitives inside a tetrahedral volume. It describes how application of this transform can improve the efficiency of soft shadows and defocus blur computations.

Warren Hunt
Intel Corporation

Gregory Johnson
University of Texas at Austin and Intel Corporation