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 …

Intelligent agents must autonomously interact with the environments to perform daily tasks
based on human-level instructions. They need a foundational understanding of the world to …

Understanding how humans cooperatively rearrange household objects is critical for VR/AR
and human-robot interaction. However, in-depth studies on modeling these behaviors are …

Recent advancements in diffusion models have led to significant improvements in the
generation and animation of 4D full-body human-object interactions (HOI). Nevertheless …

Learning generic skills for humanoid robots interacting with 3D scenes by mimicking human
data is a key research challenge with significant implications for robotics and real-world …

Reconstructing 3D hand-face interactions with deformations from a single image is a
challenging yet crucial task with broad applications in AR, VR, and gaming. The challenges …

In this paper, we tackle the problem of how to build and benchmark a large motion model
(LMM). The ultimate goal of LMM is to serve as a foundation model for versatile motion …

Human-scene interaction (HSI) generation is crucial for applications in embodied AI, virtual
reality, and robotics. While existing methods can synthesize realistic human motions in 3D …

Understanding the ability of humans to use objects is crucial for AI to improve daily life.
Existing studies for learning such ability focus on human-object patterns (eg, contact, spatial …

This research delves into the problem of interactive editing of human motion generation.
Previous motion diffusion models lack explicit modeling of the word-level text-motion …