In this paper, we present TailorNet, a neural model which predicts clothing deformation in
3D as a function of three factors: pose, shape and style (garment geometry), while retaining …

We propose a temporally coherent generative model addressing the super-resolution
problem for fluid flows. Our work represents a first approach to synthesize four-dimensional …

Designing and simulating realistic clothing is challenging. Previous methods addressing the
capture of clothing from 3D scans have been limited to single garments and simple motions …

We present a novel method to generate accurate and realistic clothing deformation from real
data capture. Previous methods for realistic cloth modeling mainly rely on intensive …

We present the first image-based generative model of people in clothing for the full body. We
sidestep the commonly used complex graphics rendering pipeline and the need for high …

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 …

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 present a technique for cloth simulation that dynamically refines and coarsens triangle
meshes so that they automatically conform to the geometric and dynamic detail of the …

We describe a complete system for animating realistic clothing on synthetic bodies of any
shape and pose without manual intervention. The key component of the method is a model …

The typical elastic surface or curve simulation method takes a Lagrangian approach and
consists of three components: time integration, collision detection and collision response …