GPU-Based Techniques for Global Illumination Effects

Szirmay‐Kalos, László; Szécsi, László; Sbert, Mateu

doi:10.2200/s00107ed1v01y200801cgr004

Cited by 7 publications

(6 citation statements)

References 79 publications

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“…On the other, real-time caustics (for example, Photon Mapping in texture space) require photon hit filtering. This is usually achieved by blurring hits using splatting, but photon splats may fall on a chart border, resulting in energy being lost due to part of the photon being splatted outside a chart [89]. Yet again, Continuity Mapping can prove to be a valuable tool as it accumulates energy at the correct texture charts.…”

Section: Continuous Simulationsmentioning

confidence: 99%

Continuity and Interpolation Techniques for Computer Graphics

González

Patow

2015

Computer Graphics Forum

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Continuity and interpolation have been crucial topics for computer graphics since its very beginnings. Every time we want to interpolate values across some area, we need to take a set of samples over that interpolating region. However, interpolating samples faithfully allowing the results to closely match the underlying functions can be a tricky task as the functions to sample could not be smooth and, in the worst case, it could be even impossible when they are not continuous. In those situations bringing the required continuity is not an easy task, and much work has been done to solve this problem. In this paper, we focus on the state of the art in continuity and interpolation in three stages of the real‐time rendering pipeline. We study these problems and their current solutions in texture space (2D), object space (3D) and screen space. With this review of the literature in these areas, we hope to bring new light and foster research in these fundamental, yet not completely solved problems in computer graphics.

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Section: Continuous Simulationsmentioning

confidence: 99%

Continuity and Interpolation Techniques for Computer Graphics

González

Patow

2015

Computer Graphics Forum

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“…During the path building part, certain number of random scattering points, called virtual sources [SKSS08] are generated in the volume. Then, the deterministic splitting part connects all virtual soruces to all detectors and computes the impact of this random path to each of the detectors (Fig.…”

Section: New Algorithmmentioning

confidence: 99%

Gamma Photon Transport on the GPU for PET

Szirmay‐Kalos

Tóth

Magdics

et al. 2010

Large-Scale Scientific Computing

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Abstract. This paper proposes a Monte Carlo algorithm for gammaphoton transport, that partially reuses random paths and is appropriate for parallel GPU implementation. According to the requirements of the application of the simulation results in reconstruction algorithms, the method aims at similar relative rather than absolute errors of the detectors. The resulting algorithm is SIMD-like, which is a requirement of efficient GPU implementation, i.e. all random paths are built with the same sequence of instructions, thus can be simulated on parallel threads that practically have no conditional branches. The algorithm is a combined method that separates the low-dimensional part that cannot be well mimicked by importance sampling and computes it by a deterministic quadrature, while the high-dimensional part that is made low-variation by importance sampling is handled by the Monte Carlo method. The deterministic quadrature is based on a geometric interpretation of a direct, i.e. non-scattered effect of a photon on all detectors.

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“…On the other hand, real-time caustics (for example, Photon Mapping in texture space) require photon hit filtering. This is usually achieved by blurring hits using splatting, but photon splats may fall on a chart border, resulting in energy being lost due to part of the photon being splatted outside a chart [Szirmay-Kalos et al 2008]. Yet again, Continuity Mapping can prove to be a valuable tool as it accumulates energy at the correct texture charts.…”

Section: Multi-chart Relief Mapping Another Application Of Continuitymentioning

confidence: 99%

Continuity mapping for multi-chart textures

González

Patow

2009

ACM Trans. Graph.

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Figure 1: Filtering with Continuity Mapping (Snake from www.daz3d.com, 25448 triangles, atlas 700 × 3200). In spite of the artist's fine-tuning, seams are visible with padding alone (top). Continuity Mapping makes any multi-chart parameterization seamless (bottom). AbstractIt is well known that multi-chart parameterizations introduce seams over meshes, causing serious problems for applications like texture filtering, relief mapping and simulations in the texture domain.Here we present two techniques, collectively known as Continuity Mapping, that together make any multi-chart parameterization seamless: Traveler's Map is used for solving the spatial discontinuities of multi-chart parameterizations in texture space thanks to a bidirectional mapping between areas outside the charts and the corresponding areas inside; and Sewing the Seams addresses the sampling mismatch at chart boundaries using a set of stitching triangles that are not true geometry, but merely evaluated on a perfragment basis to perform consistent linear interpolation between non-adjacent texel values. Continuity Mapping does not require any modification of the artist-provided textures or models, it is fully automatic, and achieves continuity with small memory and computational costs.

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GPU-Based Techniques for Global Illumination Effects

Cited by 7 publications

References 79 publications

Continuity and Interpolation Techniques for Computer Graphics

Continuity and Interpolation Techniques for Computer Graphics

Gamma Photon Transport on the GPU for PET

Continuity mapping for multi-chart textures

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