Computer Graphics
TU Braunschweig

Accelerating Photo-realistic RT

Abstract

The goal of this research project is to develop and evaluate new approaches to accelerate photo-realistic ray tracing. Our focus lies on novel acceleration and denoising strategies for fast and memory-efficient photo-realistic rendering. Our research covers various topics from basic research for fast intersection tests to advanced filtering techniques of Monte Carlo simulation-based rendering.

Publications


Pablo Bauszat, Martin Eisemann, Elmar Eisemann, Marcus Magnor:
General and Robust Error Estimation and Reconstruction for Monte Carlo Rendering
in Computer Graphics Forum (Proc. of Eurographics EG), vol. 34, no. 2, pp. 597-608, May 2015.
Eurographics 2015 paper



Martin Eisemann, Pablo Bauszat, Stefan Guthe, Marcus Magnor:
Geometry Presorting for Implicit Object Space Partitioning
in Computer Graphics Forum (Proc. of Eurographics Symposium on Rendering EGSR), vol. 31, no. 4, pp. 1445-1454, June 2012.

Martin Eisemann, Pablo Bauszat, Marcus Magnor:
Implicit Object Space Partitioning: The No-Memory BVH
Technical Report no. 16, Computer Graphics Lab, TU Braunschweig, January 2012.

Pablo Bauszat, Martin Eisemann, Marcus Magnor:
Adaptive Sampling for Geometry-aware Reconstruction Filters
in Proc. Vision, Modeling and Visualization (VMV), pp. 183-190, October 2011.

Pablo Bauszat, Martin Eisemann, Marcus Magnor, Naveed Ahmed:
Guided Image Filtering for Interactive High-quality Global Illumination
in Computer Graphics Forum (Proc. of Eurographics Symposium on Rendering EGSR), vol. 30, no. 4, pp. 1361-1368, June 2011.

Pablo Bauszat, Martin Eisemann, Marcus Magnor:
The Minimal Bounding Volume Hierarchy
in Proc. Vision, Modeling and Visualization (VMV), pp. 227-234, November 2010.

Martin Eisemann, Christian Woizischke, Marcus Magnor:
Ray Tracing with the Single-Slab Hierarchy
in Proc. Vision, Modeling and Visualization (VMV), pp. 373-381, October 2008.

Martin Eisemann, Thorsten Grosch, Stefan Müller, Marcus Magnor:
Fast Ray/Axis-Aligned Bounding Box Overlap Tests using Ray Slopes
in Journal of Graphics Tools (jgt), vol. 12, no. 4, pp. 35-46, December 2007.

Martin Eisemann, Thorsten Grosch, Stefan Müller, Marcus Magnor:
Automatic Creation of Object Hierarchies for Ray Tracing Dynamic Scenes
in WSCG Short Communications Proceedings, pp. 57-64, January 2007.

Martin Eisemann, Thorsten Grosch, Marcus Magnor, Stefan Müller:
Automatic Creation of Object Hierarchies for Ray Tracing Dynamic Scenes
Technical Report no. 1, Computer Graphics Lab, TU Braunschweig, Germany, June 2006.

Martin Eisemann:
Ray Tracing mit dynamischer Bounding Volume Hierarchie
Master's thesis, Institute for Computational Visualistics, Computer Graphics Group, University of Koblenz-Landau, January 2006.

Related Projects

ElectroEncephaloGraphics

This project focuses on using electroencephalography (EEG) to analyze the human visual process. Human visual perception is becoming increasingly important in the analyses of rendering methods, animation results, interface design, and visualization techniques. Our work uses EEG data to provide concrete feedback on the perception of rendered videos and images as opposed to user studies that just capture the user's response. Our results so far are very promising. Not only have we been able to detect a reaction to artifacts in the EEG data, but we have also been able to differentiate between artifacts based on the EEG response.