Human motion generation, a cornerstone technique in animation and video production, has
widespread applications in various tasks like text-to-motion and music-to-dance. Previous …

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 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 …

In this work, we present Semantic Gesticulator, a novel framework designed to synthesize
realistic gestures accompanying speech with strong semantic correspondence. Semantically …

The recently emerging text-to-motion advances have spired numerous attempts for
convenient and interactive human motion generation. Yet existing methods are largely …

Gesture synthesis is a vital realm of human-computer interaction, with wide-ranging
applications across various fields like film, robotics, and virtual reality. Recent advancements …

This paper addresses the problem of generating lifelike holistic co-speech motions for 3D
avatars focusing on two key aspects: variability and coordination. Variability allows the …

This paper describes the DiffuGesture entry to the GENEA Challenge 2023. In this paper, we
utilize conditional diffusion models to formulate the gesture generation problem. The …

In this paper, we propose a novel framework, Combo, for harmonious co-speech holistic 3D
human motion generation and efficient customizable adaption. In particular, we identify that …