Progressive Photon Relaxation
Progressive Photon Relaxation
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DOI：
10.1145/2421636.2421643
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发表时间：
2013-01-01
影响因子：
6.2
通讯作者：
Jones, Mark W.
中科院分区：
文献类型：
--
作者：
Spencer, Ben;Jones, Mark W.
我们介绍了一种新的算法，逐步消除噪声的独立于视图的光子地图，同时最大限度地减少残留的偏见。我们的方法使用来自多个连续通道的数据来改进光子的原始集合，以估计每个光子局部的入射通量。我们展示了如何使用这些信息来引导松弛步骤，其目标是强制执行恒定的每光子通量。使用重新制定的辐射估计，我们演示了如何产生的蓝噪声光子分布产生的辐射重建中的误差显着减少。我们的方法有一个开放式的运行时间相同的顺序无偏和渐近一致的渲染方法，随着时间的推移收敛到一个稳定的结果。我们证明了它的有效性，在存储焦散照明在一个独立于视图的框架，并在视觉上可比的参考图像使用渐进光子映射的保真度。
We introduce a novel algorithm for progressively removing noise from view-independent photon maps while simultaneously minimizing residual bias. Our method refines a primal set of photons using data from multiple successive passes to estimate the incident flux local to each photon. We show how this information can be used to guide a relaxation step with the goal of enforcing a constant, per-photon flux. Using a reformulation of the radiance estimate, we demonstrate how the resulting blue noise photon distribution yields a radiance reconstruction in which error is significantly reduced. Our approach has an open-ended runtime of the same order as unbiased and asymptotically consistent rendering methods, converging over time to a stable result. We demonstrate its effectiveness at storing caustic illumination within a view-independent framework and at a fidelity visually comparable to reference images rendered using progressive photon mapping.