Diffavatar: Simulation-ready garment optimization with differentiable simulation
The realism of digital avatars is crucial in enabling telepresence applications with self-
expression and customization. While physical simulations can produce realistic motions for …
expression and customization. While physical simulations can produce realistic motions for …
Physics-guided shape-from-template: monocular video perception through neural surrogate models
Abstract 3D reconstruction of dynamic scenes is a long-standing problem in computer
graphics and increasingly difficult the less information is available. Shape-from-Template …
graphics and increasingly difficult the less information is available. Shape-from-Template …
Neural Monte Carlo Fluid Simulation
The idea of using a neural network to represent continuous vector fields (ie, neural fields)
has become popular for solving PDEs arising from physics simulations. Here, the classical …
has become popular for solving PDEs arising from physics simulations. Here, the classical …
An Empirical Investigation on Variational Autoencoder-Based Dynamic Modeling of Deformable Objects from RGB Data
Formulating the dynamics of continuously deformable objects and other mechanical systems
analytically from first principles is an exceedingly challenging task, often impractical in real …
analytically from first principles is an exceedingly challenging task, often impractical in real …
Graph Neural Networks with Directional Encodings for Anisotropic Elasticity
Simulating the behavior of nonlinear and anisotropic materials is a central problem with
applications across engineering, computer graphics, robotics, and beyond. While …
applications across engineering, computer graphics, robotics, and beyond. While …