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Effective Parallelization Strategies for Scalable, High-Performance Iterative Reconstruction
(The Eurographics Association, 2020)
Iterative reconstruction techniques in X-ray computed tomography converge to a result by successively refining increasingly accurate estimates. Compared to alternative approaches, iterative reconstruction imposes significant ...
High-Quality Rendering of Glyphs Using Hardware-Accelerated Ray Tracing
(The Eurographics Association, 2020)
Glyph rendering is an important scientific visualization technique for 3D, time-varying simulation data and for higherdimensional data in general. Though conceptually simple, there are several different challenges when ...
Neural Denoising for Path Tracing of Medical Volumetric Data
(ACM, 2020)
In this paper, we transfer machine learning techniques previously applied to denoising surface-only Monte Carlo renderings to path-traced visualizations of medical volumetric data. In the domain of medical imaging, path-traced ...
Finding Efficient Spatial Distributions for Massively Instanced 3-d Models
(The Eurographics Association, 2020)
Instancing is commonly used to reduce the memory footprint of massive 3-d models. Nevertheless, large production assets often do not fit into the memory allocated to a single rendering node or into the video memory of a ...
Hardware-Accelerated Dual-Split Trees
(ACM, 2020)
Bounding volume hierarchies (BVH) are the most widely used acceleration structures for ray tracing due to their high construction and traversal performance. However, the bounding planes shared between parent and children ...