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Joint Expression Synthesis and Representation Learning for Facial Expression Recognition

IEEE transactions on circuits and systems for video technology (Print), 2021
Facial expression recognition (FER) is a challenging task due to the large appearance variations and the lack of sufficient training data. Conventional deep approaches either learn a good representation through deep models or synthesize images ...
Xi Zhang, Feifei Zhang, Changsheng Xu
semanticscholar   +1 more source

US-GAN: on the importance of ultimate skip connection for facial expression synthesis

Multimedia tools and applications, 2021
We demonstrate the benefit of using an ultimate skip (US) connection for facial expression synthesis using generative adversarial networks (GAN). A direct connection transfers identity, facial, and color details from input to output while suppressing ...
Arbish Akram, Nazar Khan
semanticscholar   +1 more source

Controllable Talking Face Generation by Implicit Facial Keypoints Editing

arXiv.org
Audio-driven talking face generation has garnered significant interest within the domain of digital human research. Existing methods are encumbered by intricate model architectures that are intricately dependent on each other, complicating the process of
Dong Zhao   +5 more
semanticscholar   +1 more source

Facial Expression Synthesis using a Global‐Local Multilinear Framework

Computer graphics forum (Print), 2020
We present a practical method to synthesize plausible 3D facial expressions for a particular target subject. The ability to synthesize an entire facial rig from a single neutral expression has a large range of applications both in computer graphics and ...
Mengjiao MJ Wang   +3 more
semanticscholar   +1 more source

Facial Age and Expression Synthesis Using Ordinal Ranking Adversarial Networks

IEEE Transactions on Information Forensics and Security, 2020
Facial image synthesis has been extensively studied, for a long time, in both computer graphics and computer vision. Particularly, the synthesis of face images with varying ages, expressions and poses has received an increasing attention owing to several
Yunlian Sun   +3 more
semanticscholar   +1 more source

Parameterized Facial Expression Synthesis for Videoconferencing Applications

2015
In this paper we propose a method of creating intermediate facial expressions based on primary ones [1]. To achieve this goal we utilize both Facial Definition Parameters (FDPs) and Facial Animation Parameters (FAPs). We introduce a way for modeling the primary expressions using FAPs and we describe a rule-based technique for the synthesis of ...
Tsapatsoulis, Nicolas   +2 more
openaire   +1 more source

U-Net Conditional GANs for Photo-Realistic and Identity-Preserving Facial Expression Synthesis

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), 2019
Facial expression synthesis (FES) is a challenging task since the expression changes are highly non-linear and depend on the facial appearance. Person identity should also be well preserved in the synthesized face.
Xueping Wang, Yunhong Wang, Weixin Li
semanticscholar   +1 more source

Emotion space for analysis and synthesis of facial expression

Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, 1993
Shigeo Morishima   +2 more
semanticscholar   +1 more source

Realistic emotion visualization by combining facial animation and hairstyle synthesis

Multimedia tools and applications, 2017
Jun Yu, Ling-yan Li, Jie Zou
semanticscholar   +1 more source

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