Gestures that accompany speech are an essential part of natural and efficient embodied
human communication. The automatic generation of such co‐speech gestures is a long …

A person's emotions and state of mind are apparent in their face and eyes. As a Latin
proverb states:'The face is the portrait of the mind; the eyes, its informers'. This presents a …

Animating virtual avatars to make co-speech gestures facilitates various applications in
human-machine interaction. The existing methods mainly rely on generative adversarial …

This work addresses the problem of generating 3D holistic body motions from human
speech. Given a speech recording, we synthesize sequences of 3D body poses, hand …

For human-like agents, including virtual avatars and social robots, making proper gestures
while speaking is crucial in human-agent interaction. Co-speech gestures enhance …

Generating speech-consistent body and gesture movements is a long-standing problem in
virtual avatar creation. Previous studies often synthesize pose movement in a holistic …

Human speech is often accompanied by hand and arm gestures. We present a method for
cross-modal translation from" in-the-wild" monologue speech of a single speaker to their …

Gestures are non-verbal but important behaviors accompanying people's speech. While
previous methods are able to generate speech rhythm-synchronized gestures, the semantic …

We present a machine learning technique for driving 3D facial animation by audio input in
real time and with low latency. Our deep neural network learns a mapping from input …

We present ZeroEGGS, a neural network framework for speech‐driven gesture generation
with zero‐shot style control by example. This means style can be controlled via only a short …