ActGAN: Flexible and Efficient One-shot Face Reenactment

Ivan Kosarevych, Marian Petruk, Markian Kostiv +3

This paper introduces ActGAN - a novel end-to-end generative adversarial network (GAN) for one-shot face reenactment. Given two images, the goal is to transfer the facial expressio…