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 …

Portrait relighting aims to render a face image under different lighting conditions. Existing
methods do not explicitly consider some challenging lighting effects such as specular and …

In this paper, we present a complete system for automatic face replacement in images. Our
system uses a large library of face images created automatically by downloading images …

We introduce SCiFI, a system for Secure Computation of Face Identification. The system
performs face identification which compares faces of subjects with a database of registered …

Relighting is an essential step in realistically transferring objects from a captured image into
another environment. For example, authentic telepresence in Augmented Reality requires …

Video portraits relighting is critical in user-facing human photography, especially for
immersive VR/AR experience. Recent advances still fail to recover consistent relit result …

Faces in natural images are often occluded by a variety of objects. We propose a fully
automated, probabilistic and occlusion-aware 3D morphable face model adaptation …

In this paper, we present a new method to modify the appearance of a face image by
manipulating the illumination condition, when the face geometry and albedo information is …

Image‐based lighting has allowed the creation of photo‐realistic computer‐generated
content. However, it requires the accurate capture of the illumination conditions, a task …

In this work we introduce Lifting Autoencoders, a generative 3D surface-based model of
object categories. We bring together ideas from non-rigid structure from motion, image …