This work addresses the problem of estimating the full body 3D human pose and shape from
a single color image. This is a task where iterative optimization-based solutions have …

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 Octopus, a learning-based model to infer the personalized 3D shape of people
from a few frames (1-8) of a monocular video in which the person is moving with a …

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 …

In this work, we present a novel method for capturing human body shape from a single
scaled silhouette. We combine deep correlated features capturing different 2D views, and …

We represent human body shape estimation from binary silhouettes or shaded images as a
regression problem, and describe a novel method to tackle it using CNNs. Utilizing a …

Abstract 3D garment capture is an important component for various applications such as free‐
view point video, virtual avatars, online shopping, and virtual cloth fitting. Due to the …

Recent capture technologies and methods allow not only to retrieve 3D model sequence of
moving people in clothing, but also to separate and extract the underlying body geometry …

Creating metrically accurate avatars is important for many applications such as virtual
clothing try-on, ergonomics, medicine, immersive social media, telepresence, and gaming …

We propose a novel computer vision system for reconstructing 3D body shapes from 2D
images with the goal of producing highly accurate anthropomorphic measurements from a …