Generating vivid and emotional 3D co-speech gestures is crucial for virtual avatar animation
in human-machine interaction applications. While the existing methods enable generating …

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

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 …

Co-Speech gesture generation encounters challenges with imbalanced, long-tailed gesture
distributions. While recent methods typically address this by employing Vector Quantized …

Audio-driven 3D facial animation synthesis has been an active field of research with
attention from both academia and industry. While there are promising results in this area …

In this work, we introduce a challenging task for simultaneously generating 3D holistic body
motions and singing vocals directly from textual lyrics inputs, advancing beyond existing …

Verbal videos, featuring voice-overs or text overlays, provide valuable content but present
significant challenges in composition, especially when incorporating editing effects to …

Controlling human gestures based on speech signals presents a significant challenge in
computer vision. While existing works did preliminary studies of generating holistic co …

Co-speech gesture generation is crucial for creating lifelike avatars and enhancing human-
computer interactions by synchronizing gestures with speech in computer vision. Despite …