- a brief summary video of the “Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains” paper
- presents how this paper connects to light transport and provides an overview of 6 examples and a look at implementations of the technique

- the paper presents an importance sampling method that is based on wrap functions that approximate a single factor
- introduces how to use the technique with several existing techniques including projected solid angle sampling, glossy BSFDs, and others
