Monte Carlo (MC) integration is used ubiquitously in realistic image synthesis because of its
flexibility and generality. However, the integration has to balance estimator bias and …

Recent advances in differentiable rendering have enabled high-quality reconstruction of 3D
scenes from multi-view images. Most methods rely on simple rendering algorithms: pre …

We present a real-time neural radiance caching method for path-traced global illumination.
Our system is designed to handle fully dynamic scenes, and makes no assumptions about …

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 …

As scenes become ever more complex and real-time applications embrace ray tracing, path
sampling algorithms that maximize quality at low sample counts become vital. Recent …

High-quality denoising of Monte Carlo low-sample renderings remains a critical challenge
for practical interactive ray tracing. We present a new learning-based denoiser that achieves …

Inverse rendering methods aim to estimate geometry, materials and illumination from multi-
view RGB images. In order to achieve better decomposition, recent approaches attempt to …

Image denoising, one of the essential inverse problems, targets to remove noise/artifacts
from input images. In general, digital image denoising algorithms, executed on computers …

The continuous advancement of photorealism in rendering is accompanied by a growth in
texture data and, consequently, increasing storage and memory demands. To address this …

Abstract Real‐time Monte Carlo denoising aims at removing severe noise under low
samples per pixel (spp) in a strict time budget. Recently, kernel‐prediction methods use a …