activity
20242026
most citedLearning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.GRShow all

8 papers · 1 filter

cs.GR2026

PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces

Pranav Jain, Navami Kairanda, Peter Yichen Chen +1

Partial differential equations (PDEs) on surfaces are fundamental to scientific computing and geometry processing. A popular approach to solving PDEs on surfaces is the finite elem…

cs.GR2026

DiffPhD: A Unified Differentiable Solver for Projective Heterogeneous Materials in Elastodynamics with Contact-Rich GPU-Acceleration

Shih-Yu Lai, Sung-Han Tien, Jui-I Huang +9

Differentiable simulation of soft bodies is a foundation for system identification, trajectory optimization, and Real2Sim transfer. Yet, existing methods such as the differentiable…

cs.GR2026

Closing Trajectories: Equation-Free Cyclic Animation via Koopman Surrogates

Shixun Huang, Siyuan Chen, Yue Chang +2

Cyclic animation is widely used in computer graphics and interactive content.It supports seamless playback in games, VR, and interactive simulation,where short clips must repeat sm…

cs.GR2026

PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning

Yuanhang Lei, Tao Cheng, Xingxuan Li +6

Achieving real-time physics-based animation that generalizes across diverse 3D shapes and discretizations remains a fundamental challenge. We introduce PhysSkin, a physics-informed…

cs.GR2026

Low-Rank Koopman Deformables with Log-Linear Time Integration

Yue Chang, Peter Yichen Chen, Eitan Grinspun +1

We present a low-rank Koopman operator formulation for accelerating deformable subspace simulation. Using a Dynamic Mode Decomposition (DMD) parameterization of the Koopman operato…

cs.GR2025

Precise Gradient Discontinuities in Neural Fields for Subspace Physics

Mengfei Liu, Yue Chang, Zhecheng Wang +2

Discontinuities in spatial derivatives appear in a wide range of physical systems, from creased thin sheets to materials with sharp stiffness transitions. Accurately modeling these…

cs.GR2025

Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation

Yue Chang, Mengfei Liu, Zhecheng Wang +2

Cutting thin-walled deformable structures is common in daily life, but poses significant challenges for simulation due to the introduced spatial discontinuities. Traditional method…

cs.GR2024

Shape Space Spectra

Yue Chang, Otman Benchekroun, Maurizio M. Chiaramonte +2

Eigenanalysis of differential operators, such as the Laplace operator or elastic energy Hessian, is typically restricted to a single shape and its discretization, limiting reduced…