Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate
realistic human behaviors. In this work, we address the challenging problem of generating …

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

We propose CG-HOI the first method to address the task of generating dynamic 3D human-
object interactions (HOIs) from text. We model the motion of both human and object in an …

We present TeSMo, a text-controlled scene-aware motion generation method based on
denoising diffusion models. Previous text-to-motion methods focus on characters in isolation …

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 …

Confronting the challenges of data scarcity and advanced motion synthesis in human-scene
interaction modeling we introduce the TRUMANS dataset alongside a novel HSI motion …

Abstract Large Language Models (LLMs) have shown remarkable emergent abilities in
unifying almost all (if not every) NLP tasks. In the human motion-related realm however …

Crafting a single, versatile physics-based controller that can breathe life into interactive
characters across a wide spectrum of scenarios represents an exciting frontier in character …

Despite significant advancements in text-to-motion synthesis generating language-guided
human motion within 3D environments poses substantial challenges. These challenges …

Learning 3D human-object interaction relation is pivotal to embodied AI and interaction
modeling. Most existing methods approach the goal by learning to predict isolated …