Papers by Andrew Helmer

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Stochastic Generation of (t,s) Sample Sequences

Andrew Helmer, Per Christensen, and Andrew Kensler
Nov 2021

We introduce a novel method to generate sample sequences that are progressively stratified both in high dimensions and in lower-dimensional projections. Our method comes from a new observation that Owen-scrambled quasi-Monte Carlo (QMC) sequences can be generated as stratified samples, merging the QMC construction and random scrambling into a stochastic ... more

Paper (PDF)

Additional materials: [suppl.pdf]

Eurographics Symposium on Rendering 2021