AboutPeopleProjectsCoursesPublicationsJobs  
   
 

Publications

Year:  
All :: 1990, ... , 2014, 2015, 2016, 2017
References

Articles:

2.
Weier, Martin, Stengel, Michael, Roth, Thorsten, Didyk, Piotr, Eisemann, Elmar, Eisemann, Martin, Grogorick, Steve, Hinkenjann, André, Krujiff, Ernst, Magnor, Marcus, Myszkowski, Karol; Slusallek, Philipp
Perception-driven Accelerated Rendering
Computer Graphics Forum (Proceedings of Eurographics), 36
2017

Abstract: Advances in computer graphics enable us to create digital images of astonishing complexity and realism. However, processing resources are still a limiting factor. Hence, many costly but desirable aspects of realism are often not accounted for, including global illumination, accurate depth of field and motion blur, spectral effects, etc. especially in real-time rendering. At the same time, there is a strong trend towards more pixels per display due to larger displays, higher pixel densities or larger fields of view. Further observable trends in current display technology include more bits per pixel (high dynamic range, wider color gamut/fidelity), increasing refresh rates (better motion depiction), and an increasing number of displayed views per pixel (stereo, multi-view, all the way to holographic or lightfield displays). These developments cause significant unsolved technical challenges due to aspects such as limited compute power and bandwidth. Fortunately, the human visual system has certain limitations, which mean that providing the highest possible visual quality is not always necessary. In this report, we present the key research and models that exploit the limitations of perception to tackle visual quality and workload alike. Moreover, we present the open problems and promising future research targeting the question of how we can minimize the effort to compute and display only the necessary pixels while still offering a user full visual experience.

1.
Pérard-Gayot, Arsène, Kalojanov, Javor; Slusallek, Philipp
GPU Ray-tracing using Irregular Grids
Computer Graphics Forum,
2017
accepted

Abstract: We present a spatial index structure to accelerate ray tracing on GPUs. It is a flat, non-hierarchical spatial subdivision of the scene into axis aligned cells of varying size. In order to construct it, we first nest an octree into each cell of a uniform grid. We then apply two optimization passes to increase ray traversal performance: First, we reduce the expected cost for ray traversal by merging cells together. This adapts the structure to complex primitive distributions, solving the "teapot in a stadium" problem. Second, we decouple the cell boundaries used during traversal for rays entering and exiting a given cell. This allows us to extend the exiting boundaries over adjacent cells that are either empty or do not contain additional primitives. Now, exiting rays can skip empty space and avoid repeating intersection tests. Finally, we demonstrate that in addition to the fast ray traversal performance, the structure can be rebuilt efficiently in parallel, allowing for ray tracing dynamic scenes.

Export as:
BibTeX, XML