Relighting Forest Ecosystems

Steele, Jay; Geist, Robert

doi:10.1007/978-3-642-10331-5_6

Cited by 2 publications

(5 citation statements)

References 17 publications

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“…To light a scene with more than a single cloud or a single tree and yet capture inter-object, indirect illumination requires a grid hierarchy, such as suggested in [28].…”

Section: Final Evaluationmentioning

confidence: 43%

“…The impressive, real-time performance achieved by Kaplanyan and Dachsbacher [17] can be attributed to their use of nested grids of varying resolution positioned in camera space. Their grid hierarchy is more sophisticated than our own [28], and could offer significant performance benefits. Another approach is the use of dynamic grids.…”

Section: Future Directionsmentioning

confidence: 44%

“…Standard constraints are conservation of mass, m (Ω m ·f ) = 0, and conservation of momentum, m (Ω m ·f ) v m = τ F , where v m = (λ/τ ) c m and F represents any site external force. Here, as in [11,12,13,28], for the case of isotropic scattering, we specify Ω as follows:…”

Section: Core Methodsmentioning

confidence: 52%

“…In [12] we extended this approach to capture diffuse transmission, inter-object scattering, and ambient occlusion, such as needed in photo-realistic rendering of dense forest ecosystems. Most recently, we showed that the technique could be parameterized to allow real-time relighting of scenes in response to movement of light sources [28].…”

mentioning

confidence: 44%

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Lattice Boltzmann Lighting Models

Geist¹,

Westall²

2011

GPU Computing Gems Emerald Edition

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In this chapter, we present a GPU-based implementation of a photon transport model that is particularly effective in global illumination of participating media, including atmospheric geometry such as clouds, smoke, and haze, as well as densely placed, translucent surfaces. The model provides the "perfect" GPU application in the sense that the kernel code can be structured to minimize control flow divergence and yet avoid all memory bank conflicts and uncoalesced accesses to global memory. Thus the speedups over single-core CPU execution are dramatic. Example applications include clouds, plants, and plastics.

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“…To light a scene with more than a single cloud or a single tree and yet capture inter-object, indirect illumination requires a grid hierarchy, such as suggested in [28].…”

Section: Final Evaluationmentioning

confidence: 43%

Section: Future Directionsmentioning

confidence: 44%

Section: Core Methodsmentioning

confidence: 52%

mentioning

confidence: 44%

See 2 more Smart Citations

Lattice Boltzmann Lighting Models

Geist¹,

Westall²

2011

GPU Computing Gems Emerald Edition

Self Cite

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show abstract

“…The method of Geist and Steele [GS08] for rendering large vegetation ecosystems is perhaps most related to our approach. This approach precomputes volumetric lattice‐Boltzmann simulations to encode fine‐scale tree‐internal propagation which can be coupled [SG09] with a similar scene‐dependent coarse‐scale precomputation for propagation across trees. We similarly decouple asset‐internal transport from the remaining transport in the scene, but we do not impose an approximate volumetric transport model and we express ASOs in compact asset‐tailored bases.…”

Section: Related Workmentioning

confidence: 99%

Reduced Aggregate Scattering Operators for Path Tracing

Blumer

Novák

Habel

et al. 2016

Computer Graphics Forum

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Equal-time comparisonPath tracing Ours Figure 1: Our reduced aggregate scattering operators (ASOs) compactly represent per-asset direct and indirect illumination, and the relation between them, in a reduced-dimensional subspace represented by a chain of dense matrices. ASOs can be used in path tracing to reduce the noise due to asset-internal scattering at the cost of a small amount of temporally stable bias. AbstractAggregate scattering operators (ASOs) describe the overall scattering behavior of an asset (i.e., an object or volume, or collection thereof) accounting for all orders of its internal scattering. We propose a practical way to precompute and compactly store ASOs and demonstrate their ability to accelerate path tracing. Our approach is modular avoiding costly and inflexible scene-dependent precomputation. This is achieved by decoupling light transport within and outside of each asset, and precomputing on a per-asset level. We store the internal transport in a reduced-dimensional subspace tailored to the structure of the asset geometry, its scattering behavior, and typical illumination conditions, allowing the ASOs to maintain good accuracy with modest memory requirements. The precomputed ASO can be reused across all instances of the asset and across multiple scenes. We augment ASOs with functionality enabling multi-bounce importance sampling, fast short-circuiting of complex light paths, and compact caching, while retaining rapid progressive preview rendering. We demonstrate the benefits of our ASOs by efficiently path tracing scenes containing many instances of objects with complex inter-reflections or multiple scattering.

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Relighting Forest Ecosystems

Cited by 2 publications

References 17 publications

Lattice Boltzmann Lighting Models

Lattice Boltzmann Lighting Models

Reduced Aggregate Scattering Operators for Path Tracing

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