We propose a hybrid neural network (NN) and PDE approach for learning generalizable
PDE dynamics from motion observations. Many NN approaches learn an end-to-end model …

We present a method to render virtual touch, such that the stimulus produced by a tactile
device on a user's skin matches the stimulus computed in a virtual environment simulation …

Nonlinear metamaterials with tailored mechanical properties have applications in
engineering, medicine, robotics, and beyond. While modeling their macromechanical …

In this work, we present a novel approach for calibrating material model parameters for soft
body simulations using real data. We use a fully differentiable pipeline, combining a …

Garment animation is ubiquitous in various applications, such as virtual reality, gaming, and
film producing. Recently, learning-based approaches obtain compelling performance in …

While humans effortlessly discern intrinsic dynamics and adapt to new scenarios, modern AI
systems often struggle. Current methods for visual grounding of dynamics either use pure …

Capturing material properties of real-world elastic solids is both challenging and highly
relevant to many applications in computer graphics, robotics and related fields. We give a …

We estimate the three Herschel-Bulkley parameters (yield stress σ Y, power-law index n,
and consistency parameter η) for shear-dependent fluid-like materials possibly with large …

This paper introduces a new formulation for material homogenization of thin-shell
microstructures. It addresses important challenges that limit the quality of previous …

Virtual garment simulation has become increasingly important with applications in garment
design and virtual try-on. However, reproducing garments faithfully remains a cumbersome …