15 citations · 38 across the 4 of their papers we have counts for
5 papers · 1 filter
Improving Generative Adversarial Network Generalization for Facial Expression Synthesis
Arbish Akram, Nazar Khan, Arif Mahmood
Facial expression synthesis aims to generate realistic facial expressions while preserving identity. Existing conditional generative adversarial networks (GANs) achieve excellent i…
SARGAN: Spatial Attention-based Residuals for Facial Expression Manipulation
Arbish Akram, Nazar Khan
Encoder-decoder based architecture has been widely used in the generator of generative adversarial networks for facial manipulation. However, we observe that the current architectu…
US-GAN: On the importance of Ultimate Skip Connection for Facial Expression Synthesis
Arbish Akram, Nazar Khan
We demonstrate the benefit of using an ultimate skip (US) connection for facial expression synthesis using generative adversarial networks (GAN). A direct connection transfers iden…
Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis
Nazar Khan, Arbish Akram, Arif Mahmood +2
Compared to facial expression recognition, expression synthesis requires a very high-dimensional mapping. This problem exacerbates with increasing image sizes and limits existing e…
Pixel-based Facial Expression Synthesis
Arbish Akram, Nazar Khan
Facial expression synthesis has achieved remarkable advances with the advent of Generative Adversarial Networks (GANs). However, GAN-based approaches mostly generate photo-realisti…