Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …

Conventional physically-based methods for relighting portrait images need to solve an
inverse rendering problem, estimating face geometry, reflectance and lighting. However, the …

We present SfSNet, an end-to-end learning framework for producing an accurate
decomposition of an unconstrained human face image into shape, reflectance and …

Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

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 …

As a classic statistical model of 3D facial shape and albedo, 3D Morphable Model (3DMM) is
widely used in facial analysis, eg, model fitting, image synthesis. Conventional 3DMM is …

We present a single-image 3D face synthesis technique that can handle challenging facial
expressions while recovering fine geometric details. Our technique employs expression …

Despite the recent success of face image generation with GANs, conditional hair editing
remains challenging due to the under-explored complexity of its geometry and appearance …