Neural approximations of scalar-and vector fields, such as signed distance functions and
radiance fields, have emerged as accurate, high-quality representations. State-of-the-art …

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 …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

A number of methods for constructing bounding volume hierarchies and point-based octrees
on the GPU are based on the idea of ordering primitives along a space-filling curve. A major …

Photorealistic rendering of the virtual world is an important and classic problem in the field of
computer graphics. With the development of GPU hardware and continuous research on …

Novel-view synthesis of specular objects like shiny metals or glossy paints remains a
significant challenge. Not only the glossy appearance but also global illumination effects …

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 …

We show that a binary voxel grid can be represented orders of magnitude more efficiently
than using a sparse voxel octree (SVO) by generalising the tree to a directed acyclic graph …

We introduce a novel transmittance model to improve the volumetric representation of 3D
scenes. The model can represent opaque surfaces in the volumetric light transport …

We present a novel architecture for flexible control of shading rates in a GPU pipeline, and
demonstrate substantially reduced shading costs for various applications. We decouple …