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Computer Science > Graphics

arXiv:2504.04564v1 (cs)
[Submitted on 6 Apr 2025 (this version) , latest version 10 Apr 2025 (v2) ]

Title: GPU Volume Rendering with Hierarchical Compression Using VDB

Title: 基于使用VDB的分层压缩的GPU体积渲染

Authors:Stefan Zellmann, Milan Jaros, Jefferson Amstutz, Ingo Wald
Abstract: We propose a compression-based approach to GPU rendering of large volumetric data using OpenVDB and NanoVDB. We use OpenVDB to create a lossy, fixed-rate compressed representation of the volume on the host, and use NanoVDB to perform fast, low-overhead, and on-the-fly decompression during rendering. We show that this approach is fast, works well even in a (incoherent) Monte Carlo path tracing context, can significantly reduce the memory requirements of volume rendering, and can be used as an almost drop-in replacement into existing 3D texture-based renderers.
Abstract: 我们提出了一种基于压缩的方法,使用OpenVDB和NanoVDB对大型体积数据进行GPU渲染。 我们使用OpenVDB在主机上创建体积的有损固定速率压缩表示,并使用NanoVDB在渲染期间进行快速、低开销且实时的解压缩。 我们表明,这种方法速度快,在(非一致的)蒙特卡洛路径追踪环境中也能很好地工作,可以显著减少体积渲染的内存需求,并可以几乎直接替换现有的基于3D纹理的渲染器。
Subjects: Graphics (cs.GR) ; Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as: arXiv:2504.04564 [cs.GR]
  (or arXiv:2504.04564v1 [cs.GR] for this version)
  https://doi.org/10.48550/arXiv.2504.04564
arXiv-issued DOI via DataCite

Submission history

From: Stefan Zellmann [view email]
[v1] Sun, 6 Apr 2025 17:42:23 UTC (30,129 KB)
[v2] Thu, 10 Apr 2025 17:36:22 UTC (30,129 KB)
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