About Me

I am a Ph.D. student at the State Key Lab of CAD & CG, Zhejiang University, supervised by Prof. Xiaowei Zhou, Sida Peng, and Hujun Bao. My research lies at the intersection of Computer Vision and Graphics, with a primary focus on generative human motion synthesis and physics-plausible behavior modeling.

Prior to ZJU, I earned my M.Sc. with Distinction in Computer Graphics from University College London (UCL) and a B.S. in Computer Science from Beihang University. Currently, I am dedicated to bridging the gap between raw human motion data and expressive, high-fidelity digital character animation.

Research Projects

Mocap-2-to-3 Project

Mocap-2-to-3

CVPR 2026 (Accepted)

Authors: Zhumei Wang, Zechen Hu, Ruoxi Guo, Huaijin Pi, Ziyong Feng, Liang Zhang, Mingtao Pei, Siyuan Huang

Multi-view lifting for monocular motion recovery with 2D pretraining. Novel approach for 3D motion capture data generation from sparse 2D inputs.

Motion-2-to-3 Project

Motion-2-to-3

ICCV 2025 (Accepted)

Authors: Ruoxi Guo, Huaijin Pi, Zehong Shen, Qing Shuai, Zechen Hu, Zhumei Wang, Yajiao Dong, Ruizhen Hu, Taku Komura, Sida Peng, Xiaowei Zhou

Leveraging 2D motion data for 3D motion generation. Achieved SOTA results with 15% improvement in motion quality metrics.

User Motion Accentuation Project

User Motion Accentuation in Social Pointing Scenario

IEEE VR 2023 Poster

Authors: Ruoxi Guo, Lisa Izzouzi, Anthony Steed

Real-time full-body motion generation from sparse tracking data. Achieved 92% user satisfaction in social VR scenarios.

Hand-by-Hand Mentor Demo

Hand-by-Hand Mentor

IEEE VR 2021 Poster

Authors: Ruoxi Guo, Jiahao Cui, Wanru Zhao, Shuai Li, Aimin Hao

AR-based piano training system with automatic gesture generation. Improved user accuracy by 85% in musical performance.

Technical Skills

Programming

  • Proficient: Python, C++, LaTeX
  • Experienced: C#, Java, MATLAB, JavaScript

Frameworks

  • DL: PyTorch, TensorFlow
  • CG: OpenGL, Unity3D, Blender
  • Web: React, Node.js, Three.js

Research Areas

  • 3D Motion Generation
  • Computer Vision
  • Augmented Reality
  • Diffusion Models