To facilitate the analysis of human actions, interactions and emotions, we compute a 3D
model of human body pose, hand pose, and facial expression from a single monocular …

We present a statistical, articulated 3D human shape modeling pipeline, within a fully
trainable, modular, deep learning framework. Given high-resolution complete 3D body …

Learned 3D representations of human faces are useful for computer vision problems such
as 3D face tracking and reconstruction from images, as well as graphics applications such …

Learning a model of facial shape and expression from 4D scans Page 1 Learning a model
of facial shape and expression from 4D scans TIANYE LI∗†, University of Southern …

While the quality of GAN image synthesis has improved tremendously in recent years, our
ability to control and condition the output is still limited. Focusing on StyleGAN, we introduce …

The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely
used for face recognition and always under controlled viewing conditions. We claim that this …

This paper investigates a novel problem of generating images from visual attributes. We
model the image as a composite of foreground and background and develop a layered …

Abstract" Frontalization" is the process of synthesizing frontal facing views of faces
appearing in single unconstrained photos. Recent reports have suggested that this process …

We present FaceWarehouse, a database of 3D facial expressions for visual computing
applications. We use Kinect, an off-the-shelf RGBD camera, to capture 150 individuals aged …

Traditional face editing methods often require a number of sophisticated and task specific
algorithms to be applied one after the other---a process that is tedious, fragile, and …