We present a method for reducing errors---variance and bias---in physically based
differentiable rendering (PBDR). Typical applications of PBDR repeatedly render a scene as …

Differentiable rendering is frequently used in gradient descent-based inverse rendering
pipelines to solve for scene parameters–such as reflectance or lighting properties–from …

We propose a real-time path guiding method, Voxel Path Guiding (VXPG), that significantly
improves fitting efficiency under limited sampling budget. Our key idea is to use a spatial …

Recently, great progress has been made in physics-based differentiable rendering. Existing
differentiable rendering techniques typically focus on static scenes, but during inverse …

Monte Carlo rendering algorithms often utilize correlations between pixels to improve
efficiency and enhance image quality. For real-time applications in particular, repeated …

Efficiently and accurately rendering hair accounting for multiple scattering is a challenging
open problem. Path tracing in hair takes long to converge while other techniques are either …

Recent advancements in spatiotemporal reservoir resampling (ReSTIR) leverage sample
reuse from neighbors to efficiently evaluate the path integral. Like rasterization, ReSTIR …

Caustics are complex optical effects caused by the light being concentrated in a small area
due to reflection or refraction on surfaces with low roughness, typically under a sharp light …

Generating a rendered image sequence through Monte Carlo ray tracing is an appealing
option when one aims to accurately simulate various lighting effects. Unfortunately …

Image-space denoising techniques have been widely employed in Monte Carlo rendering,
typically blending neighboring pixel estimates using a denoising kernel. It is widely …