Tuur Stuyck

Research Scientist Lead - Meta

Physics-based simulation, robotics, and avatars.

I am a Team Lead and Research Scientist at Meta Reality Labs specializing in physics-based simulation, robotics, high-performance computer graphics, machine learning, and virtual avatars. Experienced individual contributor and leader.

I am the 2026 SIGGRAPH Poster chair and served on the 2025 SIGGRAPH Asia Technical Paper Committee, as well as the SIGGRAPH 2025 Student Research Competition Chair and on the SIGGRAPH 2019 and 2020 Immersive Pavilion Committees. I also served as a committee member for High Performance Graphics 2021.

I am the author of the book Cloth Simulation for Computer Graphics.

I previously worked at Adobe Research and Pixar Animation Studios' research group. I have made several computer animated short movies. [link]

Publications

SkinCells: Sparse Skinning using Voronoi Cells

E. Larionov, I. Santesteban, H. Chen, G. Lin, P. Herholz, R. Goldade, L. Kavan, D. Roble, T. Stuyck
EuroGraphics (EG) 2026
[paper] [video]

Neuralocks: Real-Time Dynamic Neural Hair Simulation

G. Lin, E. Larionov, H. Chen, D. Roble, T. Stuyck
EuroGraphics (EG) 2026
[paper] [video]

Dress Anyone: Automatic Physically-Based Garment Pattern Refitting

H. Chen, E. Larionov, L. Kavan, G. Lin, D. Roble, O. Sorkine-Hornung, T. Stuyck
Symposium on Computer Animation (SCA) 2025
[paper] [video]

Self-supervised Learning of Latent Space Dynamics

Y. Li, G. Lin, E. Larionov, A. Bozic, D. Roble, L. Kavan, S. Coros, B. Thomaszewski, T. Stuyck, H. Chen
Symposium on Computer Animation (SCA) 2025
[paper] [video]

3D Mesh Editing using Masked LRMs

W. Gao, D. Wang, Y. Fan, A. Bozic, T. Stuyck, Z. Li, Z. Dong, R. Ranjan, N. Sarafianos
International Conference on Computer Vision, ICCV 2025
[project] [paper]

Quaffure: Real-Time Quasi-Static Neural Hair Simulation

T. Stuyck, G. Lin, E. Larionov, H. Chen, A. Bozic, N. Sarafianos, D. Roble
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025
[project] [paper] [video]

PGC: Physics-Based Gaussian Cloth from a Single Pose

M. Guo, M. Chiang, I. Santesteban, N. Sarafianos, H. Chen, O. Halimi, A. Bozic, S. Saito, J. Wu, K. Liu, T. Stuyck, E. Larionov
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025
[project] [paper] [video]

Garment3DGen: 3D Garment Stylization and Texture Generation

N. Sarafianos, T. Stuyck, X. Xiang, Y. Li, J. Popovic, R. Ranjan
International Conference on 3D Vision (3DV) 2025
[project] [paper] [video]

A Mesh-based Simulation Framework using Automatic Code Generation

P. Herholz, T. Stuyck, L. Kavan
ACM Transaction on Graphics (SIGGRAPH Asia 2024)
[paper]

Estimating Cloth Elasticity Parameters from Homogenized Yarn-level Models

J. Zhang, G. Lin, L. Bode, H. Chen, T. Stuyck, E. Larionov
Proceedings of the 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games (MIG) 2024
[paper] [video]

DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation

Y. Li, H. Chen, E. Larionov, N. Sarafianos, W. Matusik, T. Stuyck
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024
[project] [paper] [video]

DiffXPBD: Differentiable Position-Based Simulation of Compliant Constraint Dynamics

T. Stuyck, H. Chen
Symposium on Computer Animation (SCA) 2023
[paper] [video]

Digital Garment Generation

T. Stuyck, T. Tung
2023 US Patent US20230088866

NeuWigs: A Neural Dynamic model for Volumetric Hair Capture and Animation

Z. Wang, G. Nam, T. Stuyck, S. Lombardi, C. Cao, J. Saragih, M. Zollhöfer, J. Hodgins, C. Lassner
IEEE Conference on Computer Vision and Pattern Recognition(CVPR) 2023
[paper] [video]

PhysGraph: Physics-Based Cloth Enhancement Using Graph Neural Networks

O. Halimi, E. Larionov, Z. Barzelay, P. Herholz, T. Stuyck
arXiv 2023
[paper] [video]

Pattern-Based Cloth Registration and Sparse-View Animation

O. Halimi, T. Stuyck, D. Xiang, T. Bagautdinov, H. Wen, R. Kimmel, T. Shiratori, C. Wu, Y. Sheikh, F. Prada
ACM Transaction on Graphics (SIGGRAPH Asia 2022)
[paper]

Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothing

D. Xiang, T. Bagautdinov, T. Stuyck, F. Prada, J. Romero, W. Xu, S. Saito, J. Guo, B. Smith, T. Shiratori, Y. Sheikh, J. Hodgins, C. Wu
ACM Transaction on Graphics (SIGGRAPH Asia 2022)
[paper] [Video] [UploadVR] [80 Level] [Mogura VR]

Virtual Elastic Objects

H. Chen, E. Tretschk, T. Stuyck, P. Kadlecek, L. Kavan, E. Vouga, C. Lassner
IEEE Conference on Computer Vision and Pattern Recognition(CVPR) 2022
[paper] [Project page]

HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture

Z. Wang, G. Nam, T. Stuyck, S. Lombardi, M. Zollhöfer, J. Hodgins, C. Lassner
IEEE Conference on Computer Vision and Pattern Recognition(CVPR) 2022
[paper] [video]

Simulating garment with wrinkles based on physics-based cloth simulator and machine learning model

T. Stuyck, T. Tung
2021 US Patent US10909744B1

Cloth Simulation for Computer Graphics

T. Stuyck
2018 Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography, and Imaging.
Morgan & Claypool Publishers.

Natural Media Simulation and Art-Directable Simulations for Computer Animation

T. Stuyck
2017 PhD Thesis.

Real-Time Oil Painting on Mobile Hardware

T. Stuyck, F. Da, S. Hadap, P. Dutre
2017 Computer Graphics Forum.

Sculpting Fluids: A New and Intuitive Approach to Art-Directable Fluids

T. Stuyck, P. Dutre
2016 Siggraph Poster and Research Competition Presentation
Second place ACM SIGGRAPH Research Competition 2016

Model Predictive Control for Art-Directable Fluids

T. Stuyck, P. Dutre
2016 Siggraph Poster

Digital Painting Classroom: Learning Oil Painting Using a Tablet

T. Stuyck, S. Hadap, P. Dutre
2016 Siggraph Short Talk

HR-Kinect-High-Resolution Dynamic 3D Scanning for Facial Expression Analysis

T. Stuyck, D. Vandermeulen, D. Smeets, P Claes
2013 Master thesis

Books

Cloth Simulation For Computer Graphics

Physics-based animation is commonplace in animated feature films and even special effects for live-action movies. Think about a recent movie and there will be some sort of special effects such as explosions or virtual worlds. Cloth simulation is no different and is ubiquitous because most virtual characters (hopefully!) wear some sort of clothing.

The focus of this book is physics-based cloth simulation. We start by providing background information and discuss a range of applications. This book provides explanations of multiple cloth simulation techniques. More specifically, we start with the most simple explicitly integrated mass-spring model and gradually work our way up to more complex and commonly used implicitly integrated continuum techniques in state-of-the-art implementations. We give an intuitive explanation of the techniques and give additional information on how to efficiently implement them on a computer.

Published by Morgan and Claypool Publishers: [link]
Buy on Amazon: [link]
Fxguide article:[link]

Work History

Meta Research

Research Scientist, Simulation Lead
Simulation technologies for robotics and avatars
2019 F8 Talk [link]
2021 Oculus Connect [link]
2022 Meta Connect [link]
2018 - Present

High Performance Graphics

Committee Member 2021 [link]

SIGGRAPH

SIGGRAPH 2019, 2020
Virtual, Augmented, and Mixed Reality Committee Member
SIGGRAPH 2025
Student Research Competition Chair
SIGGRAPH 2026
Poster Chair

Pixar Animation Studios

Postdoctoral Research Scientist
Space-time Control for Cloth Simulation, 2017-2018

Research Intern (twice)
Artistic Control of Cloth Simulations, Jun 2016 - Sep 2016
Space-Time Control for Cloth Simulations, Nov 2016 - Feb 2017

Adobe

Research collaboration
Continued collaboration working on research internship project, Aug 2014 - Jan 2016

Research Intern
Realistic oil paint simulation on mobile hardware, May 2014 - Aug 2014

Education

PhD Computer Science, KU Leuven
Natural Media Simulation and Art-Directable Simulations for Computer Graphics

Master of Science in Engineering, KU Leuven
Mathematical Engineering
Thesis: HR-Kinect - high-resolution dynamic 3D scanning for facial expression analysis

Bachelor of Science in Engineering, KU Leuven
Major: Computer Science | Minor: Electrical Engineering