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 …

The automatic generation of stylized co-speech gestures has recently received increasing
attention. Previous systems typically allow style control via predefined text labels or example …

Diffusion models have experienced a surge of interest as highly expressive yet efficiently
trainable probabilistic models. We show that these models are an excellent fit for …

The art of communication beyond speech there are gestures. The automatic co-speech
gesture generation draws much attention in computer animation. It is a challenging task due …

Speech-driven gesture generation is highly challenging due to the random jitters of human
motion. In addition, there is an inherent asynchronous relationship between human speech …

This paper reports on the GENEA Challenge 2023, in which participating teams built speech-
driven gesture-generation systems using the same speech and motion dataset, followed by …

Existing methods for synthesizing 3D human gestures from speech have shown promising
results but they do not explicitly model the impact of emotions on the generated gestures …

This paper describes the GestureMaster entry to the GENEA (Generation and Evaluation of
Non-verbal Behaviour for Embodied Agents) Challenge 2022. Given speech audio and text …

In this paper, we introduce the DiffuseStyleGesture+, our solution for the Generation and
Evaluation of Non-verbal Behavior for Embodied Agents (GENEA) Challenge 2023, which …

This paper describes the IVI Lab entry to the GENEA Challenge 2022. We formulate the
gesture generation problem as a sequence-to-sequence conversion task with text, audio …