1 citations · 2 across the 17 of their papers we have counts for
5 papers · 1 filter
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…
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…
GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation
Ying Chai, Litao Deng, Ruizhi Shao +6
Accurate scene perception is critical for vision-based robotic manipulation. Existing approaches typically follow either a Vision-to-Action (V-A) paradigm, predicting actions direc…
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…
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…