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Xia Hou

4 accepted papers

2026

IntentMotion: Learning Intent-Aware Human Motion from Language in 3D Scenes

AAAI 2026technical

Generating human motion in complex 3D scenes from text is a challenging task with broad applications. However, existing methods often overlook realistic physical contact, resulting in visually plausible but physically unrealistic motion, e.g., penetration. To alleviate this, we propose IntentMotion,

Cited by 0SourcePDFScholar
2025

CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks

AAAI 2025technical

As virtual experiences grow in popularity, the demand for realistic, personalized, and animatable human avatars increases. Traditional methods, relying on fixed templates, often produce costly avatars that lack expressiveness and realism. To overcome these challenges, we introduce Controllable Avata…

2024

Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model

CVPR 2024poster

Computer animation's quest to bridge content and style has historically been a challenging venture with previous efforts often leaning toward one at the expense of the other. This paper tackles the inherent challenge of content-style duality ensuring a harmonious fusion where the core narrative of t…

2024

HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models

CVPR 2024poster

To date the quest to rapidly and effectively produce human-object interaction (HOI) animations directly from textual descriptions stands at the forefront of computer vision research. The underlying challenge demands both a discriminating interpretation of language and a comprehensive physics-centric…

Cited by 11SourcePDFScholar