Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Paper: Authors: Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky Abstract: Several recent works have shown how highly realistic human head images can be obtained by training convolutional neural networks to generate them. In order to create a personalized talking head model, these works require training on a large dataset of images of a single person. However, in many practical scenarios, such personalized talking head models need to be learned from a f