Review Paper on “Real time Speech-Driven Facial Animation Using GANs”
نویسندگان
چکیده
منابع مشابه
Real-Time Speech-Driven 3D Face Animation
In this paper, we present an approach for real-time speech-driven 3D face animation using neural networks. We first analyze a 3D facial movement sequence of a talking subject and learn a quantitative representation of the facial deformations, called the 3D Motion Units (MUs). A 3D facial deformation can be approximated by a linear combination of the MUs weighted by the MU parameters (MUPs) – th...
متن کاملReal-Time Speech-Driven Face Animation
This chapter presents our research on real-time speech-driven face animation. First, a visual representation, called Motion Unit (MU), for facial deformation is learned from a set of labeled face deformation data. A facial deformation can be approximated by a linear combination of MUs weighted by the corresponding MU parameters (MUPs), which are used as the visual features of facial deformation...
متن کاملReal-time facial animation on mobile devices
We present a performance-based facial animation system capable of running on mobile devices at real-time frame rates. A key component of our system is a novel regression algorithm that accurately infers the facial motion parameters from 2D video frames of an ordinary web camera. Compared with the state-of-the-art facial shape regression algorithm [1], which takes a two-step procedure to track f...
متن کاملReal-Time Interactive Facial Animation
In this paper we describe methods for the generation of real-time facial animation for various virtual actor using high level-actions. These high-level actions allow the user to forget the technical side of the animation, and focus only on the more abstract, more natural, and intuitive part of the facial animation. The mechanisms developed to generate interactive high-level real-time animation ...
متن کاملSpeaker-independent Speech-driven Facial Animation Using a Hierarchical Model
We present a system capable of producing video-realistic videos of a speaker given audio only. The audio input signal requires no phonetic labelling and is speaker independent. The system requires only a small training set of video to achieve convincing realistic facial synthesis. The system learns the natural mouth and face dynamics of a speaker to allow new facial poses, unseen in the trainin...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Science, Communication and Technology
سال: 2021
ISSN: 2581-9429
DOI: 10.48175/ijarsct-989