About Myself
I am currently a fourth-year doctoral student at the Computational Robotics Lab(CRL) at ETH Zürich, advised by Prof. Stelian Coros and Dr. Bernhard Thomaszewski. I obtained my master's degree in Computer Graphics (CGGT) from the University of Pennsylvania under the supervision of Prof. Chenfanfu Jiang. My interests lie in physics-based simulation, PDE constrained optimization, computational design, and machine learning.
All projects during my Ph.D. are open-sourced on my GitHub page. I also maintain a code base, which I call WuKong, a legendary figure in Chinese folklore. You'll find my implementation for a few things that come in handy for simulation in Graphics. I'm updating these repos from time to time.
Preprints
Publications
Neural Metamaterial Networks for Nonlinear Material Design
Yue Li, Stelian Coros, Bernhard Thomaszewski, ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2023) [video] [code]
Programmable Digital Weaves
Yue Li, Juan Montes, Bernhard Thomaszewski, Stelian Coros, IEEE Robotics and Automation Letters (RA-L), 2022 [video] [code]
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
Jonas Zehnder, Yue Li, Stelian Coros, Bernhard Thomaszewski, Conference on Neural Information Processing Systems (NeurIPS), 2021. [video] [code]
Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture
Yue Li, Marc Habermann, Bernhard Thomaszewski, Stelian Coros, Thabo Beeler, Christian Theobalt, International Conference on 3D Vision (3DV), 2021 [Project] [video]
Lagrangian-Eulerian Multi-Density Topology Optimization with the Material Point Method
Yue Li*, Xuan Li*, Minchen Li*, Yinxin Zhu, Bo Zhu, Chenfanfu Jiang, International Journal for Numerical Methods in Engineering (IJNME), 2021. (* Equal Contribution) [code]
Expressive facial style transfer for personalized memes mimic , Yanlong Tang, Xiaoguang Han, Yue Li, Liqian Ma, Ruofeng Tong, The Visual Computer: International Journal of Computer Graphics, 2019.
Deep Precomputed Radiance Transfer for Deformable Objects
Yue Li, Pablo Wiedemann , Kenny Mitchell , Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2019.
Feature-preserving detailed 3D face reconstruction from a single image
Yue Li, Liqian Ma, Haoqiang Fan, Kenny Mitchell , Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Production, 2018.(Best Paper Award)
Short Papers, Theses, etc.
FaceMagic: Real-time Facial Detail Effects on Mobile
Llogari Casas , Yue Li, Kenny Mitchell . SIGGRAPH Asia 2020 Technical Communications.
Experiences
Visual Computing Fall 2020, Fall 2021. Instructor Prof. Stelian Coros.
Computational Models of Motion Spring 2021, Spring 2022. Instructor Prof. Stelian Coros.
Physically-Based Simulation in Computer Graphics Fall 2022. Instructor Prof. Stelian Coros.
(ETH VPN connection required)
Human Performance Capture. Co-advised by Prof. Christian Theobalt and Dr. Thabo Beeler.
Our paper "Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture" has been accepted to 3DV 2021.
Hybrid Lagrangian-Eulerian Topology Optimization. Advisor Prof. Chenfanfu Jiang.
Teaching assistant, CIS563 Physics-based Animation Fall 2019. Instructor Prof. Chenfanfu Jiang.
Rendering with Deep Learning. Advisor Prof. Kenny Mitchell.
Research Intern in the group of Napier Interactive Graphics and Simulation. Advisor Prof. Kenny Mitchell.
Our paper "Deep Precomputed Radiance Transfer for Deformable Object" has been accepted to PACM CGIT.
Research Intern Led by Liqian Ma and Haoqiang Fan.
Our paper on 'Feature-preserving detailed 3D face reconstruction from a single image' is awarded of Best Paper at ACM Conference on Visual Media Production 2018 by the ACM Europe Council.