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 …

Motion blur is a fundamental cue in the perception of objects in motion. This phenomenon
manifests as a visible trail along the trajectory of the object and is the result of the …

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 …

We present a novel algorithm for stochastic rasterization which can rasterize triangles with
attributes depending on a parameter, t, varying continuously from t= 0 to t= 1 inside a single …

The rendering of effects such as motion blur and depth-of-field requires costly 5D integrals.
We accelerate their computation through adaptive sampling and reconstruction based on …

This paper presents a hybrid algorithm for rendering approximate motion and defocus blur
with precise stochastic visibility evaluation. It demonstrates—for the first time, with a full …

We give an analytical and geometrical treatment of what it means to separate a Gaussian
kernel along arbitrary axes in Ropf n, and we present a separation scheme that allows us to …

This paper describes a novel filter for simulating motion blur phenomena in real time by
applying ideas from offline stochastic reconstruction. The filter operates as a 2D post …

High-quality motion blur is an increasingly important effect in interactive graphics however,
even in the context of offline rendering, it is often approximated as a post process. Recent …

We present a hierarchical traversal algorithm for stochastic rasterization of motion blur,
which efficiently reduces the number of inside tests needed to resolve spatio-temporal …