Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

Monte Carlo integration is firmly established as the basis for most practical realistic image
synthesis algorithms because of its flexibility and generality. However, the visual quality of …

We propose BokehMe, a hybrid bokeh rendering framework that marries a neural renderer
with a classical physically motivated renderer. Given a single image and a potentially …

We propose a novel approach for image space adaptive sampling and filtering in Monte
Carlo rendering. We use an iterative scheme composed of three steps. First, we adaptively …

Monte Carlo (MC) rendering systems can produce spectacular images but are plagued with
noise at low sampling rates. In this work, we observe that this noise occurs in regions of the …

Signal-Theoretic Representations of Appearance Page 1 1 Adaptive Wavelet Rendering
Author: Ryan Overbeck Ravi Ramamoorthi Presenter: Guillaume de Choulot Craig Donner …

We introduce a novel approach for image space adaptive sampling and reconstruction in
Monte Carlo rendering. We greedily minimize relative mean squared error (MSE) by iterating …

We apply Stein's Unbiased Risk Estimator (SURE) to adaptive sampling and reconstruction
to reduce noise in Monte Carlo rendering. SURE is a general unbiased estimator for mean …

An Efficient Denoising Algorithm for Global Illumination Page 1 An Efficient Denoising Algorithm
for Global Illumination Michael Mara, Morgan McGuire, Benedikt Bitterli, and Wojciech Jarosz …

Motion blur is crucial for high-quality rendering, but is also very expensive. Our first
contribution is a frequency analysis of motion-blurred scenes, including moving objects …