We address the problem of synthesizing multi-view optical illusions: images that change
appearance upon a transformation such as a flip or rotation. We propose a simple zero-shot …

Given a factorization of an image into a sum of linear components, we present a zero-shot
method to control each individual component through diffusion model sampling. For …

Great storytellers know how to take us on a journey. They direct characters to act—not
necessarily in the most rational way—but rather in a way that leads to interesting situations …

The large gap between the generalization level of state-of-the-art machine learning and
human learning systems calls for the development of artificial intelligence (AI) models that …

Many surface cues support three-dimensional shape perception, but humans can
sometimes still see shape when these features are missing—such as when an object is …

Great storytelling takes us on a journey the way ordinary reality rarely does. But what exactly
do we mean by this “journey?” Recently, literary theorist Karin Kukkonen proposed that …

Monte Carlo methods represent a cornerstone of computer science. They allow sampling
high dimensional distribution functions in an efficient way. In this paper we consider the …

A single panel of a comic book can say a lot: it can depict not only where the characters
currently are, but also their motions, their motivations, their emotions, and what they might do …

We develop an algorithm for automatic differentiation of Metropolis-Hastings samplers,
allowing us to differentiate through probabilistic inference, even if the model has discrete …

We present a method for automatically producing human-like vocal imitations of sounds: the
equivalent of “sketching,” but for auditory rather than visual representation. Starting with a …