The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …

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 …

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 …

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 …

We present a novel approach named OmniControl for incorporating flexible spatial control
signals into a text-conditioned human motion generation model based on the diffusion …

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 …

We address the problem of generating realistic 3D human-object interactions (HOIs) driven
by textual prompts. Instead of a single model, our key insight is to take a modular design and …

Recent advances in generative modeling have led to promising progress on synthesizing
3D human motion from text with methods that can generate character animations from short …

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 …