We present two contributions to the area of volumetric rendering. We develop a novel,
comprehensive theory of volumetric radiance estimation that leads to several new insights …

Global illumination is the core part of photo-realistic rendering. The photon mapping
algorithm is an effective method for computing global illumination with its obvious advantage …

Photon-density estimation techniques are a popular choice for simulating light transport in
scenes with complicated geometry and materials. This class of algorithms can be used to …

To render higher quality images from the samples generated by path tracing with a low
sample count, we propose a novel path reuse approach that processes a fixed collection of …

Blue noise sampling is an important component in many graphics applications, but existing
techniques consider mainly the spatial positions of samples, making them less effective …

Recently, deep learning‐based denoising approaches have led to dramatic improvements
in low sample‐count Monte Carlo rendering. These approaches are aimed at path tracing …

State‐of‐the‐art density estimation methods for rendering participating media rely on a
dense photon representation of the radiance distribution within a scene. A critical bottleneck …

The photon mapping method is one of the most popular algorithms employed in computer
graphics today. However, obtaining good results is dependent on several variables …

A number of popular global illumination algorithms uses density estimation to approximate
indirect illumination. The density estimate is performed on finite points--particles--generated …

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 …