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Fast Animation of Lightning Using an Adaptive Mesh

机译:使用自适应网格物体快速生成闪电动画

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We present a fast method for simulating, animating, and rendering lightning using adaptive grids. The "dielectric breakdown model" is an elegant algorithm for electrical pattern formation that we extend to enable animation of lightning. The simulation can be slow, particularly in 3D, because it involves solving a large Poisson problem. Losasso et al. recently proposed an octree data structure for simulating water and smoke, and we show that this discretization can be applied to the problem of lightning simulation as well. However, implementing the incomplete Cholesky conjugate gradient (ICCG) solver for this problem can be daunting, so we provide an extensive discussion of implementation issues. ICCG solvers can usually be accelerated using "Eisenstat's trick," but the trick cannot be directly applied to the adaptive case. Fortunately, we show that an "almost incomplete Cholesky" factorization can be computed so that Eisenstat's trick can still be used. We then present a fast rendering method based on convolution that is competitive with Monte Carlo ray tracing but orders of magnitude faster, and we also show how to further improve the visual results using jittering
机译:我们提出了一种使用自适应网格来模拟,动画化和渲染闪电的快速方法。 “介电击穿模型”是一种用于形成电子图案的优雅算法,我们对其进行了扩展,以实现闪电的动画效果。仿真可能会很慢,尤其是在3D中,因为它涉及解决大型泊松问题。 Losasso等。最近,我们提出了一种用于模拟水和烟的八叉树数据结构,并且我们证明了这种离散化也可以应用于雷电模拟问题。但是,针对此问题实施不完整的Cholesky共轭梯度(ICCG)求解器可能会令人生畏,因此我们对实现问题进行了广泛讨论。通常可以使用“艾森斯塔特的技巧”来加速ICCG解算器,但该技巧不能直接应用于自适应情况。幸运的是,我们表明可以计算出“几乎不完全的Cholesky”分解,从而仍然可以使用Eisenstat的把戏。然后,我们提出了一种基于卷积的快速渲染方法,该方法与Monte Carlo射线跟踪具有竞争性,但速度提高了几个数量级,并且还展示了如何使用抖动进一步改善视觉效果

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