This work targets a novel text-driven whole-body motion generation task, which takes a
given textual description as input and aims at generating high-quality, diverse, and coherent …

In this paper, we introduce a novel text-to-avatar generation method that separately
generates the human body and the clothes and allows high-quality animation on the …

Recently, the emergence of diffusion models has opened up new opportunities for single-
view reconstruction. However, all the existing methods represent the target object as a …

We present a physics-based character control framework for synthesizing human-scene
interactions. Recent advances adopt physics simulation to mitigate artifacts produced by …

We introduce a novel Stylized Motion Diffusion model, dubbed SMooDi, to generate stylized
motion driven by content texts and style motion sequences. Unlike existing methods that …

We address the challenge of content diversity and controllability in pedestrian simulation for
driving scenarios. Recent pedestrian animation frameworks have a significant limitation …

Real-time character control is an essential component for interactive experiences, with a
broad range of applications, including physics simulations, video games, and virtual reality …

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 …

This study delves into the realm of multi-modality (ie, video and motion modalities) human
behavior understanding by leveraging the powerful capabilities of Large Language Models …

This paper investigates the online generation of realistic full-body human motion using a
single head-mounted device with an outward-facing color camera and the ability to perform …