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 …

Automatic synthesis of realistic co-speech gestures is an increasingly important yet
challenging task in artificial embodied agent creation. Previous systems mainly focus on …

This paper reports on the second GENEA Challenge to benchmark data-driven automatic co-
speech gesture generation. Participating teams used the same speech and motion dataset …

Text-to-image generation has attracted significant interest from researchers and practitioners
in recent years due to its widespread and diverse applications across various industries …

Co-speech gestures are a principal component in conveying messages and enhancing
interaction experiences between humans and critical ingredients in human-agent …

Gestures, a form of body language, significantly influence how users perceive humanoid
robots. Recent data-driven methods for co-speech gestures have successfully enhanced the …

Embodied conversational agents benefit from being able to accompany their speech with
gestures. Although many data-driven approaches to gesture generation have been …

Gestures play a key role in human communication. Recent methods for co-speech gesture
generation while managing to generate beat-aligned motions struggle generating gestures …

Due to their significance in human communication, the automatic generation of co-speech
gestures in artificial embodied agents has received a lot of attention. Although modern deep …

This article reports on the second GENEA Challenge to benchmark data-driven automatic co-
speech gesture generation. Participating teams used the same speech and motion dataset …