With the advance in virtual reality applications, garment industry has strived for new
developments. This paper reviews state-of-the-art CAD methods in 3D garment design. A …

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 present a unified dynamics framework for real-time visual effects. Using particles
connected by constraints as our fundamental building block allows us to treat contact and …

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 new method for implicit time integration of physical systems. Our approach
builds a bridge between nodal Finite Element methods and Position Based Dynamics …

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 …

Three membrane proteins, OmpF porin fromEscherichia coli, bacteriorhodopsin
fromHalobacterium salinarium, and the hexagonally packed intermediate (HPI) layer …

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 …

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 …

A lot of research has recently focused on the problem of capturing the geometry and motion
of garments. Such work usually relies on special markers printed on the fabric to establish …