GigaVoxels: Ray-Guided Streaming for Efficient and Detailed Voxel Rendering

Cyril Crassin; Fabrice Neyret; Sylvain Lefebvre; Elmar Eisemann

doi:10.1145/1507149.1507152

Conference Papers Year : 2009

GigaVoxels: Ray-Guided Streaming for Efficient and Detailed Voxel Rendering

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Cyril Crassin

Function : Author
PersonId : 948141

Acquisition, representation and transformations for image synthesis

Fabrice Neyret

Function : Author
PersonId : 20288
IdHAL : fabrice-neyret
ORCID : 0000-0003-0777-2401
IdRef : 057467021

Acquisition, representation and transformations for image synthesis

Sylvain Lefebvre

Function : Author
PersonId : 17466
IdHAL : stephane-lefebvre
IdRef : 081673795

Rendering and virtual environments with sound

Elmar Eisemann

Function : Author
PersonId : 856447

Max-Planck-Institut für Informatik

Abstract

We propose a new approach to efficiently render large volumetric data sets. The system achieves interactive to real-time rendering performance for several billion voxels. Our solution is based on an adaptive data representation depending on the current view and occlusion information, coupled to an efficient ray-casting rendering algorithm. One key element of our method is to guide data production and streaming directly based on information extracted during rendering. Our data structure exploits the fact that in CG scenes, details are often concentrated on the interface between free space and clusters of density and shows that volumetric models might become a valuable alternative as a rendering primitive for real-time applications. In this spirit, we allow a quality/performance trade-off and exploit temporal coherence. We also introduce a mipmapping-like process that allows for an increased display rate and better quality through high quality filtering. To further enrich the data set, we create additional details through a variety of procedural methods. We demonstrate our approach in several scenarios, like the exploration of a 3D scan (81923 resolution), of hypertextured meshes (163843 virtual resolution), or of a fractal (theoretically infinite resolution). All examples are rendered on current generation hardware at 20-90 fps and respect the limited GPU memory budget.

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Graphics [cs.GR]

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https://inria.hal.science/inria-00345899

Submitted on : Thursday, April 28, 2011-8:54:02 AM

Last modification on : Thursday, April 4, 2024-8:53:38 PM

Long-term archiving on: Thursday, November 8, 2012-5:31:13 PM

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inria-00345899 , version 1 (28-04-2011)

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HAL Id : inria-00345899 , version 1
DOI : 10.1145/1507149.1507152

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Cyril Crassin, Fabrice Neyret, Sylvain Lefebvre, Elmar Eisemann. GigaVoxels: Ray-Guided Streaming for Efficient and Detailed Voxel Rendering. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D), Feb 2009, Boston, United States. pp.15-22, ⟨10.1145/1507149.1507152⟩. ⟨inria-00345899⟩

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GigaVoxels: Ray-Guided Streaming for Efficient and Detailed Voxel Rendering

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