This paper describes how to obtain accurate 3D body models and texture of arbitrary people
from a single, monocular video in which a person is moving. Based on a parametric body …

Purpose The purpose of the present study is to synthesize the extant literature on
augmented reality and virtual reality in the apparel industry using bibliometric and network …

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 address the problem of estimating human pose and body shape from 3D scans over
time. Reliable estimation of 3D body shape is necessary for many applications including …

We present a novel method for high detail-preserving human avatar creation from
monocular video. A parameterized body model is refined and optimized to maximally …

Parametric modeling of 3D body shape is widely used to create realistic human bodies. It
furthermore permits robust reconstruction of complete 3D body shapes even from …

Statistical models of 3D human shape and pose learned from scan databases have
developed into valuable tools to solve a variety of vision and graphics problems …

This paper proposes a new method for live free-viewpoint human performance capture with
dynamic details (eg, cloth wrinkles) using a single RGBD camera. Our main contributions …

We propose a scalable neural network framework to reconstruct the 3D mesh of a human
body from multi-view images, in the subspace of the SMPL model. Use of multi-view images …

We present a novel method for temporal coherent reconstruction and tracking of clothed
humans. Given a monocular RGB-D sequence, we learn a person-specific body model …