The behavior of daylight inside built settings, though complex, is well understood; and over
past years, designers and researchers investigated different tools and methodologies to …

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 …

Given a set of images of a scene, the re-rendering of this scene from novel views and
lighting conditions is an important and challenging problem in Computer Vision and …

We introduce a reconstruction algorithm that generates a temporally stable sequence of
images from one path-per-pixel global illumination. To handle such noisy input, we use …

Intrinsic imaging or intrinsic image decomposition has traditionally been described as the
problem of decomposing an image into two layers: a reflectance, the albedo invariant color …

Mimicking the appearance of the real world is a longstanding goal of computer graphics,
with several important applications in the feature film, architecture and medical industries …

We present radiance regression functions for fast rendering of global illumination in scenes
with dynamic local light sources. A radiance regression function (RRF) represents a non …

Recent years have seen increasing attention and significant progress in many‐light
rendering, a class of methods for efficient computation of global illumination. The many‐light …

Neural rendering algorithms introduce a fundamentally new approach for photorealistic
rendering, typically by learning a neural representation of illumination on large numbers of …

Mobile devices become more and more important today, especially for augmented reality
(AR) applications in which the camera of the mobile device acts like a window into the mixed …