Speech-driven 3D facial animation has been widely studied, yet there is still a gap to
achieving realism and vividness due to the highly ill-posed nature and scarcity of audio …

Generating high-fidelity talking head video by fitting with the input audio sequence is a
challenging problem that receives considerable attentions recently. In this paper, we …

Speech-driven 3D face animation aims to generate realistic facial expressions that match
the speech content and emotion. However, existing methods often neglect emotional facial …

The synthesis of natural emotional reactions is an essential criterion in vivid talking-face
video generation. This criterion is nevertheless seldom taken into consideration in previous …

This paper presents a generic method for generating full facial 3D animation from speech.
Existing approaches to audio-driven facial animation exhibit uncanny or static upper face …

Given audio of President Barack Obama, we synthesize a high quality video of him speaking
with accurate lip sync, composited into a target video clip. Trained on many hours of his …

We present a machine learning technique for driving 3D facial animation by audio input in
real time and with low latency. Our deep neural network learns a mapping from input …

Speech-driven facial animation is the process that automatically synthesizes talking
characters based on speech signals. The majority of work in this domain creates a mapping …

We introduce a simple and effective deep learning approach to automatically generate
natural looking speech animation that synchronizes to input speech. Our approach uses a …

Audio-driven 3D facial animation has been widely explored, but achieving realistic, human-
like performance is still unsolved. This is due to the lack of available 3D datasets, models …