Researchers from the University of Wisconsin and ByteDance Introduce PanoHead: The First 3D GAN Framework that Synthesizes View-Consistent Full Head Images with only Single-View Images
In computer vision and graphics, photo-realistic portrait image synthesis has been constantly emphasized, with a wide range of downstream applications in virtual avatars, telepresence, immersive gaming, and many other areas. Indistinguishable from genuine images, recent developments in Generative Adversarial Networks (GANs) have shown a remarkably high image synthesis quality. Contemporary generative methods, however, don’t model…