We present the first method capable of photorealistically reconstructing deformable scenes
using photos/videos captured casually from mobile phones. Our approach augments neural …

Despite recent progress in developing animatable full-body avatars, realistic modeling of
clothing-one of the core aspects of human self-expression-remains an open challenge. State …

We propose a new generative model for 3D garment deformations that enables us to learn,
for first time, a data-driven method for virtual try-on that effectively addresses garment-body …

We address the long-standing problem of iteration count and time step dependent constraint
stiffness in position-based dynamics (PBD). We introduce a simple extension to PBD that …

We present a novel, fast differentiable simulator for soft-body learning and control
applications. Existing differentiable soft-body simulators can be classified into two categories …

Soft actuators with integrated sensing have shown utility in a variety of applications such as
assistive wearables, robotics, and interactive input devices. Despite their promise, these …

We extend the incremental potential contact (IPC) model for contacting elastodynamics to
resolve systems composed of codimensional DOFs in arbitrary combination. This enables a …

We present a scalable approach for the optimization of flip-preventing energies in the
general context of simplicial mappings and specifically for mesh parameterization. Our …

Cloth simulation has wide applications in computer animation, garment design, and robot-
assisted dressing. This work presents a differentiable cloth simulator whose additional …

We present a method for learning 3D geometry and physics parameters of a dynamic scene
from only a monocular RGB video input. To decouple the learning of underlying scene …