Feature-Improving Generative Adversarial Network for Face Frontalization
Face frontalization can boost the performance of face recognition methods and has made significant progress with the development of Generative Adversarial Networks (GANs).However, many GAN-based face frontalization methods still perform relatively weak on face recognition tasks under large face poses.In this paper, we propose Feature-Improving GAN