首页> 外文期刊>ACM Transactions on Graphics >Directable, High-Resolution Simulation of Fire on the GPU
【24h】

Directable, High-Resolution Simulation of Fire on the GPU

机译:在GPU上进行定向,高分辨率的火灾模拟

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The simulation of believable, photorealistic fire is difficult because fire is highly detailed, fast-moving, and turbulent. Traditional grid-based simulation models require large grids and long simulation times to capture even the coarsest levels of detail. In this paper, we propose a novel combination of coarse particle grid simulation with very fine, view-oriented refinement simulations performed on a GPU. We also propose a simple, GPU-based volume rendering scheme. The resulting images of fire produced by the proposed techniques are extremely detailed and can be integrated seamlessly into film-resolution images.rnOur refinement technique takes advantage of perceptive limitations and likely viewing behavior to split the refinement stage into separable, parallel tasks. Multiple independent GPUs are employed to rapidly refine final simulations for rendering, allowing for rapid artist turnaround time and very high resolutions.rnDirectability is achieved by allowing virtually any user-defined particle behavior as an input to the initial coarse simulation. The physical criteria enforced by the coarse stage are minimal and could be easily implemented using any of the wide variety of commercially available fluid simulation tools. The GPU techniques utilized by our refinement stage are simple and widely available on even consumer-grade GPUs, lowering the overall implementation cost of the proposed system.
机译:难以模拟逼真的火势,因为火势非常详细,移动迅速且湍急。传统的基于网格的仿真模型需要较大的网格和较长的仿真时间才能捕获最粗糙的细节。在本文中,我们提出了将粗粒子网格模拟与在GPU上执行的非常精细的,面向视图的细化模拟的新颖组合。我们还提出了一种简单的基于GPU的体绘制方案。所提出的技术所产生的火灾图像非常详细,可以无缝地集成到胶片分辨率图像中。我们的精炼技术利用感知限制和可能的观看行为将精炼阶段划分为可分离的并行任务。通过使用多个独立的GPU来快速优化最终模拟以进行渲染,从而允许快速的艺术家周转时间和极高的分辨率。通过允许几乎任何用户定义的粒子行为作为初始粗模拟的输入,可以实现可导演性。由粗略阶段强制执行的物理标准是最小的,并且可以使用各种各样的市售流体模拟工具中的任何一种轻松实现。我们的优化阶段使用的GPU技术简单易行,甚至在消费级GPU上也可广泛使用,从而降低了拟议系统的总体实施成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号