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cs.CV2025

HOSIG: Full-Body Human-Object-Scene Interaction Generation with Hierarchical Scene Perception

Wei Yao, Yunlian Sun, Hongwen Zhang +2

Generating high-fidelity full-body human interactions with dynamic objects and static scenes remains a critical challenge in computer graphics and animation. Existing methods for h…

cs.CV2025

X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention

Xiaochen Zhao, Hongyi Xu, Guoxian Song +6

We propose X-NeMo, a novel zero-shot diffusion-based portrait animation pipeline that animates a static portrait using facial movements from a driving video of a different individu…

cs.CV2025

SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios

Lingwei Dang, Ruizhi Shao, Hongwen Zhang +3

Hand-Object Interaction (HOI) generation has significant application potential. However, current 3D HOI motion generation approaches heavily rely on predefined 3D object models and…

cs.GR2025

ReCoM: Realistic Co-Speech Motion Generation with Recurrent Embedded Transformer

Yong Xie, Yunlian Sun, Hongwen Zhang +2

We present ReCoM, an efficient framework for generating high-fidelity and generalizable human body motions synchronized with speech. The core innovation lies in the Recurrent Embed…

cs.CV2025

SpeechAct: Towards Generating Whole-body Motion from Speech

Jinsong Zhang, Minjie Zhu, Yuxiang Zhang +2

This paper addresses the problem of generating whole-body motion from speech. Despite great successes, prior methods still struggle to produce reasonable and diverse whole-body mot…