Ruihang Zhang portrait

Ruihang Zhang

University of Toronto
Controllable Video Generation
World Models
Robotics

About Me

I am a CS PhD student at the University of Toronto, supervised by David Lindell. My research interests focus on controllable video generation as a pathway toward world models for robotics.

Previously, I was a research intern with the Creative Vision team at Snap Research, working on image personalization with Guocheng Gordon Qian, Kuan-Chieh Jackson Wang, and Sergey Tulyakov. I obtained my Bachelor's degree in Engineering Science from the University of Toronto, specializing in Machine Intelligence.

Education

University of Toronto
PhD in Computer Science
University of Toronto
BASc in Engineering Science, Machine Intelligence

Experience

Snap Research, Snap Inc.
Research Intern

Publications (* denotes equal contribution)

ProxyPose teaser
ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation
Ruihang Zhang*, Felix Taubner*, Pooja Ravi, Kiriakos N. Kutulakos, David B. Lindell
arXiv, 2026
LayerComposer teaser
CanvasComposer: Personalized Group Photo Generation via a Multi-Reference Canvas
Guocheng Qian*, Ruihang Zhang*, Tsai-Shien Chen, Yusuf Dalva, Anujraaj Goyal, Willi Menapace, Ivan Skorokhodov, Meng Dong, Arpit Sahni, Daniil Ostashev, Ju Hu, Sergey Tulyakov, Kuan-Chieh Wang
SIGGRAPH Asia, 2026
MVP4D teaser
MVP4D: Multi-View Portrait Video Diffusion for Animatable 4D Avatars
Felix Taubner, Ruihang Zhang, Mathieu Tuli, Sherwin Bahmani, David B. Lindell
SIGGRAPH Asia, 2025
CAP4D teaser
CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models
Felix Taubner, Ruihang Zhang, Mathieu Tuli, David B. Lindell
CVPR, 2025

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