eMotion-GAN: A Deep Learning Approach for Frontal View Synthesis that Preserves Facial Expressions

eMotion-GAN is a deep learning approach that leverages facial motion analysis and conditional generative adversarial networks (cGANs) to correct head pose variations while preserving facial expressions for improved facial expression recognition (FER) performance.