ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement

6 Apr 2021 Yuval Alaluf Or Patashnik Daniel Cohen-Or

Recently, the power of unconditional image synthesis has significantly advanced through the use of Generative Adversarial Networks (GANs). The task of inverting an image into its corresponding latent code of the trained GAN is of utmost importance as it allows for the manipulation of real images, leveraging the rich semantics learned by the network... (read more)

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