2021
DOI: 10.1007/978-3-030-89029-2_34
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DDISH-GI: Dynamic Distributed Spherical Harmonics Global Illumination

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Cited by 2 publications
(6 citation statements)
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“…Probe based techniques also differ on how they store the information in the probes. Some use discrete textures [28,31] while other may use a compressed basis representation such as Spherical Harmonics [14,55]. Spherical harmonics implicitly pre-filters the content before storage but may cause light and dark ringing issues.…”
Section: Metropolis Samplingmentioning
confidence: 99%
See 2 more Smart Citations
“…Probe based techniques also differ on how they store the information in the probes. Some use discrete textures [28,31] while other may use a compressed basis representation such as Spherical Harmonics [14,55]. Spherical harmonics implicitly pre-filters the content before storage but may cause light and dark ringing issues.…”
Section: Metropolis Samplingmentioning
confidence: 99%
“…Bandwidth is also crucial for cloud streaming of probe data. In such scenarios, Spherical Harmonics [14] representation may be preferable as they provide excellent compression for low frequency data. At run-time, dynamic probe based [28] GI solutions uniformly distributes rays across probes to update their content; this quickly becomes a bottleneck as the number of probes increases.…”
Section: Metropolis Samplingmentioning
confidence: 99%
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“…While Tauray supports many rendering modes for debugging, dataset generation and comparison purposes, its primary focus is on methods aiming for photorealism: a forward path tracer and DDISH-GI [Ikkala et al 2021] are available. Both methods use the crossvendor Vulkan extensions VK_KHR_ray_tracing_pipeline and VK_KHR_acceleration_structure for ray tracing.…”
Section: Rendering Modesmentioning
confidence: 99%
“…Tauray focuses on using ray tracing techniques for generating real-time content for multi-view displays, such as VR headsets and light field displays. It includes multiple different rendering modes, such as forward path tracing and DDISH-GI [Ikkala et al 2021], and supports using multiple GPUs.…”
Section: Introductionmentioning
confidence: 99%