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Yu Ju Chen

dblp:228/3385 · also Yu Ju Edwin Chen · DBLP profile ↗
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2ranked-venue papers
2as first author
1since 2021 · last 2021
0000-0002-7540-6246ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Computer animation and physical simulation · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
deformable body simulation
0.512021
SIERE: A Hybrid Semi-Implicit Exponential Integrator for Efficiently Simulating Stiff Deformable Objects · ACM Trans. Graph. 2021
Computer animation and physical simulation › deformable body simulation
elastodynamics simulation
0.312018
Exponential Rosenbrock-Euler Integrators for Elastodynamic Simulation · IEEE Trans. Vis. Comput. Graph. 2018
Computer animation and physical simulation › deformable body simulation
soft body simulation
0.312018
Exponential Rosenbrock-Euler Integrators for Elastodynamic Simulation · IEEE Trans. Vis. Comput. Graph. 2018

Methods — techniques the papers use, named apart from their topics

exponential rosenbrock euler · 0.8spectral decomposition · 0.5semi-implicit backward euler · 0.5implicit integration · 0.3
YearPublicationVenuePosition
2021 SIERE: A Hybrid Semi-Implicit Exponential Integrator for Efficiently Simulating Stiff Deformable Objects
abstract
Physics-based simulation methods for deformable objects suffer limitations due to the conflicting requirements that are placed on them. The work horse semi-implicit (SI) backward Euler method is very stable and inexpensive, but it is also a blunt instrument. It applies heavy damping, which depends on the timestep, to all solution modes and not just to high-frequency ones. As such, it makes simulations less lively, potentially missing important animation details. At the other end of the scale, exponential methods (exponential Rosenbrock Euler (ERE)) are known to deliver good approximations to all modes, but they get prohibitively expensive and less stable for very stiff material. In this article, we devise a hybrid, semi-implicit method called SIERE that allows the previous methods SI and ERE to each perform what they are good at. To do this, we employ at each timestep a partial spectral decomposition, which picks the lower, leading modes, applying ERE in the corresponding subspace. The rest is handled (i.e., effectively damped out) by SI. No solution of nonlinear algebraic equations is required throughout the algorithm. We show that the resulting method produces simulations that are visually as good as those of the exponential method at a computational price that does not increase with stiffness, while displaying stability and damping with respect to the high-frequency modes. Furthermore, the phenomenon of occasional divergence of SI is avoided.
Yu Ju Chen, Seung Heon Sheen, Uri M. Ascher, Dinesh K. Pai
ACM Trans. Graph.1
2018 Exponential Rosenbrock-Euler Integrators for Elastodynamic Simulation
abstract
High quality simulations of the dynamics of soft flexible objects can be rather costly, because the assembly of internal forces through an often nonlinear stiffness at each time step is expensive. Many standard implicit integrators introduce significant, time-step dependent artificial damping. Here we propose and demonstrate the effectiveness of an exponential Rosenbrock-Euler (ERE) method which avoids discretization-dependent artificial damping. The method is relatively inexpensive and works well with the large time steps used in computer graphics. It retains correct qualitative behaviour even in challenging circumstances involving non-convex elastic energies. Our integrator is designed to handle and perform well even in the important cases where the symmetric stiffness matrix is not positive definite at all times. Thus we are able to address a wider range of practical situations than other related solvers. We show that our system performs efficiently for a wide range of soft materials.
Yu Ju Chen, Uri M. Ascher, Dinesh K. Pai
IEEE Trans. Vis. Comput. Graph.1