Dynamic Facial Expression Generation on Hilbert Hypersphere With Conditional Wasserstein Generative Adversarial Nets

In this work, we propose a novel approach for generating videos of the six basic facial expressions given a neutral face image. We propose to exploit the face geometry by modeling the facial landmarks motion as curves encoded as points on a hypersphere. By proposing a conditional version of manifold...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 2; pp. 848 - 863
Main Authors:	Otberdout, Naima, Daoudi, Mohamed, Kacem, Anis, Ballihi, Lahoucine, Berretti, Stefano
Format:	Journal Article
Language:	English
Published:	United States IEEE 01-02-2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Subjects:	Algorithms Artificial Intelligence Computer Science Computer Vision and Pattern Recognition conditional manifold-valued wasserstein generative adversarial networks Curves Dynamics Emotion recognition Face Facial Expression Facial expression generation facial landmarks Gallium nitride Generative adversarial networks Geometry Hyperspheres Motion Neural Networks, Computer Riemannian geometry Training Video Videos Riemannian geometry Conditional manifold-valued Wasserstein Generative Adversarial Networks Facial Landmarks Facial expression generation
Online Access:	Get full text
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