Talking human face generation aims at synthesizing a natural human face that talks in
correspondence to the given text or audio series. Implementing the recently developed …

We propose a straightforward method that simultaneously reconstructs the 3D facial
structure and provides dense alignment. To achieve this, we design a 2D representation …

Generative adversarial networks (GANs) have been extensively studied in recent years and
have been used to address several problems in the fields of image generation and computer …

We present large scale facial model (LSFM)—a 3D Morphable Model (3DMM) automatically
constructed from 9663 distinct facial identities. To the best of our knowledge LSFM is the …

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 …

In this paper, we present a video-based learning framework for animating personalized 3D
talking faces from audio. We introduce two training-time data normalizations that significantly …

In this paper we propose to learn a map** from image pixels into a dense template grid
through a fully convolutional network. We formulate this task as a regression problem and …

Near infrared-visible (NIR-VIS) heterogeneous face recognition refers to the process of
matching NIR to VIS face images. Current heterogeneous methods try to extend VIS face …

This paper presents a novel approach for synthesizing facial affect; either in terms of the six
basic expressions (ie, anger, disgust, fear, joy, sadness and surprise), or in terms of valence …

The progress we are currently witnessing in many computer vision applications, including
automatic face analysis, would not be made possible without tremendous efforts in collecting …