With recent developments in Embodied Artificial Intelligence (EAI) research there has been
a growing demand for high-quality large-scale interactive scene generation. While prior …

Abstract 3D vision-language (3D-VL) grounding, which aims to align language with 3D
physical environments, stands as a cornerstone in develo** embodied agents. In …

This work introduces MotionLCM, extending controllable motion generation to a real-time
level. Existing methods for spatial-temporal control in text-conditioned motion generation …

Traditional approaches in physics-based motion generation centered around imitation
learning and reward sha** often struggle to adapt to new scenarios. To tackle this …

Current approaches for 3D human motion synthesis generate high-quality animations of
digital humans performing a wide variety of actions and gestures. However, a notable …

Situation awareness is essential for understanding and reasoning about 3D scenes in
embodied AI agents. However, existing datasets and benchmarks for situated understanding …

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 …

This paper addresses the problem of generating 3D interactive human motion from text.
Given a textual description depicting the actions of different body parts in contact with static …

Diverse human motion prediction (HMP) is a fundamental application in computer vision that
has recently attracted considerable interest. Prior methods primarily focus on the stochastic …