ART-Owen Scrambling

Abdalla G. M. Ahmed, Matt Pharr, Peter Wonka
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Abstract

We present a novel algorithm for implementing Owen-scrambling, combining the generation and distribution of the scrambling bits in a single self-contained compact process. We employ a context-free grammar to build a binary tree of symbols, and equip each symbol with a scrambling code that affects all descendant nodes. We nominate the grammar of adaptive regular tiles (ART) derived from the repetition-avoiding Thue-Morse word, and we discuss its potential advantages and shortcomings. Our algorithm has many advantages, including random access to samples, fixed time complexity, GPU friendliness, and scalability to any memory budget. Further, it provides two unique features over known methods: it admits optimization, and it is in-vertible, enabling screen-space scrambling of the high-dimensional Sobol sampler.
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ART-Owen Scrambling
我们提出了一种实现欧文加扰的新算法,它将加扰比特的生成和分配结合在一个独立紧凑的过程中。我们采用无上下文语法构建二进制符号树,并为每个符号配备影响所有后代节点的扰码。我们提名了从避免重复的 Thue-Morse 词衍生出的自适应正则瓦片(ART)语法,并讨论了其潜在的优势和不足。我们的算法有很多优点,包括随机访问样本、时间复杂度固定、GPU 友好性以及可扩展至任何内存预算。此外,与已知方法相比,我们的算法还有两个独特之处:它允许优化,而且是不可反转的,从而可以对高维 Sobol 采样器进行屏幕空间扰乱。
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