no code implementations • 30 Mar 2023 • Arbish Akram, Nazar Khan
Third, we proposed to train the complete network with a residual connection which relieves the generator of pressure to generate the input face image thereby producing the desired expression by directly feeding the input image towards the end of the generator.
no code implementations • 24 Dec 2021 • Arbish Akram, Nazar Khan
We demonstrate the benefit of using an ultimate skip (US) connection for facial expression synthesis using generative adversarial networks (GAN).
no code implementations • 18 Nov 2020 • Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza
Compared to facial expression recognition, expression synthesis requires a very high-dimensional mapping.
Facial Expression Recognition Facial Expression Recognition (FER) +1
no code implementations • 27 Oct 2020 • Arbish Akram, Nazar Khan
The quality of GAN results significantly degrades when testing images are from a slightly different distribution.