Geometry Guided Adversarial Facial Expression Synthesis

Understand

Facial expression synthesis has drawn much attention in the field of computer graphics and pattern recognition.

• It has been widely used in face animation and recognition.
• However, it is still challenging due to the high-level semantic presence of large and non-linear face geometry variations.
• This paper proposes a Geometry-Guided Generative Adversarial Network (G2-GAN) for photo-realistic and identity-preserving facial expression synthesis.