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 …

Mouse movement data contain rich information about users, performed tasks, and user
interfaces, but separating the respective components remains challenging and unexplored …

We propose EMAGE a framework to generate full-body human gestures from audio and
masked gestures encompassing facial local body hands and global movements. To achieve …

Current co-speech motion generation approaches usually focus on upper body gestures
following speech contents only, while lacking supporting the elaborate control of synergistic …

Recent advancements in the field of Diffusion Transformers have substantially improved the
generation of high-quality 2D images, 3D videos, and 3D shapes. However, the …

Interactions between human and objects are influenced not only by the object's pose and
shape, but also by physical attributes such as object mass and surface friction. They …

We propose EMAGE, a framework to generate full-body human gestures from audio and
masked gestures, encompassing facial, local body, hands, and global movements. To …

Human communication is inherently multimodal, involving a combination of verbal and non-
verbal cues such as speech, facial expressions, and body gestures. Modeling these …

Co-speech gesture generation is crucial for producing synchronized and realistic human
gestures that accompany speech, enhancing the animation of lifelike avatars in virtual …