Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

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 …

Generative artificial intelligence––defined as AI-enabled technology that analyzes and
learns from existing data and generates novel human-like content—has emerged as a …

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 …

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 …

This study aims to improve the generation of 3D gestures by utilizing multimodal information
from human speech. Previous studies have focused on incorporating additional modalities …

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 …

Co-speech gestures are a key channel of human communication, making them important for
personalized chat agents to generate. In the past, gesture generation models assumed that …

With read-aloud speech synthesis achieving high naturalness scores, there is a growing
research interest in synthesising spontaneous speech. However, human spontaneous face …