A practical guide to finite-element-method (FEM) simulation of 3D deformable solids reviews
essential offline FEM simulation techniques: complex nonlinear materials, invertible …

We propose the first reduced model simulation framework for deformable solid dynamics
using autoencoder neural networks. We provide a data‐driven approach to generating …

Data-driven methods for physical simulation are an attractive option for interactive
applications due to their ability to trade precomputation and memory footprint in exchange …

Deformation Capture and Modeling of Soft Objects Page 1 Edit this text to create a Heading ▪
This subtitle is 20 points ▪ Bullets are blue ▪ They have 110% line spacing, 2 points before & …

In this section, we derive the analytic expression for the computation of the rotation matrix R
from Section 4.2 of our main paper, and we summarize how to compute the micro …

In recent years, the As-Rigid-As-Possible (ARAP) shape deformation and shape
interpolation techniques gained popularity, and the ARAP energy was successfully used in …

We present a method for the real-time simulation of deformable objects that combines the
robustness, generality, and high performance of Projective Dynamics with the efficiency and …

We propose a reduced-space elasto-dynamic solver that is well suited for augmenting
rigged character animations with secondary motion. At the core of our method is a novel …

NNWarp is a highly re-usable and efficient neural network (NN) based nonlinear deformable
simulation framework. Unlike other machine learning applications such as image …

We present a novel method for elastic animation editing with space-time constraints. In a
sharp departure from previous approaches, we not only optimize control forces added to a …