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 …

Human motion generation aims to generate natural human pose sequences and shows
immense potential for real-world applications. Substantial progress has been made recently …

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 …

Achieving realistic, vivid, and human-like synthesized conversational gestures conditioned
on multi-modal data is still an unsolved problem due to the lack of available datasets …

Co-speech gesture is crucial for human-machine interaction and digital entertainment. While
previous works mostly map speech audio to human skeletons (eg, 2D keypoints), directly …

This paper presents a novel framework for automatic speech-driven gesture generation,
applicable to human-agent interaction including both virtual agents and robots. Specifically …

We propose the first approach to synthesize the synchronous 3D conversational body and
hand gestures, as well as 3D face and head animations, of a virtual character from speech …

We present a novel framework to automatically generate natural gesture motions
accompanying speech from audio utterances. Based on a Bi-Directional LSTM Network, our …

Current co-speech gestures synthesis methods struggle with generating diverse motions
and typically collapse to single or few frequent motion sequences, which are trained on …

Co-speech gestures are a crucial, non-verbal modality for humans to communicate. Social
agents also need this capability to be more human-like and comprehensive. This study aims …