Learning‐based animation of clothing for virtual try‐on
This paper presents a learning‐based clothing animation method for highly efficient virtual
try‐on simulation. Given a garment, we preprocess a rich database of physically‐based …
try‐on simulation. Given a garment, we preprocess a rich database of physically‐based …
Self-supervised collision handling via generative 3d garment models for virtual try-on
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 …
for first time, a data-driven method for virtual try-on that effectively addresses garment-body …
Diffpd: Differentiable projective dynamics
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 …
applications. Existing differentiable soft-body simulators can be classified into two categories …
Diffcloth: Differentiable cloth simulation with dry frictional contact
Cloth simulation has wide applications in computer animation, garment design, and robot-
assisted dressing. This work presents a differentiable cloth simulator whose additional …
assisted dressing. This work presents a differentiable cloth simulator whose additional …
Vertex Block Descent
We introduce vertex block descent, a block coordinate descent solution for the variational
form of implicit Euler through vertex-level Gauss-Seidel iterations. It operates with local …
form of implicit Euler through vertex-level Gauss-Seidel iterations. It operates with local …
Penetration-free projective dynamics on the GPU
We present a GPU algorithm for deformable simulation. Our method offers good
computational efficiency and penetration-free guarantee at the same time, which are not …
computational efficiency and penetration-free guarantee at the same time, which are not …
GPU-based simulation of cloth wrinkles at submillimeter levels
H Wang - ACM Transactions on Graphics (TOG), 2021 - dl.acm.org
In this paper, we study physics-based cloth simulation in a very high resolution setting,
presumably at submillimeter levels with millions of vertices, to meet perceptual precision of …
presumably at submillimeter levels with millions of vertices, to meet perceptual precision of …
Learning-based bending stiffness parameter estimation by a drape tester
Real-world fabrics often possess complicated nonlinear, anisotropic bending stiffness
properties. Measuring the physical parameters of such properties for physics-based …
properties. Measuring the physical parameters of such properties for physics-based …
High-order differentiable autoencoder for nonlinear model reduction
This paper provides a new avenue for exploiting deep neural networks to improve physics-
based simulation. Specifically, we integrate the classic Lagrangian mechanics with a deep …
based simulation. Specifically, we integrate the classic Lagrangian mechanics with a deep …
A GPU-based multilevel additive schwarz preconditioner for cloth and deformable body simulation
In this paper, we wish to push the limit of real-time cloth and deformable body simulation to a
higher level with 50K to 500K vertices, based on the development of a novel GPU-based …
higher level with 50K to 500K vertices, based on the development of a novel GPU-based …