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DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment
Stella Bounareli, Christos Tzelepis, Vasileios Argyriou +2
Video-driven neural face reenactment aims to synthesize realistic facial images that successfully preserve the identity and appearance of a source face, while transferring the targ…
One-shot Neural Face Reenactment via Finding Directions in GAN's Latent Space
Stella Bounareli, Christos Tzelepis, Vasileios Argyriou +2
In this paper, we present our framework for neural face/head reenactment whose goal is to transfer the 3D head orientation and expression of a target face to a source face. Previou…
HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces
Stella Bounareli, Christos Tzelepis, Vasileios Argyriou +2
In this paper, we present our method for neural face reenactment, called HyperReenact, that aims to generate realistic talking head images of a source identity, driven by a target…
StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face Reenactment
Stella Bounareli, Christos Tzelepis, Vasileios Argyriou +2
In this paper we address the problem of neural face reenactment, where, given a pair of a source and a target facial image, we need to transfer the target's pose (defined as the he…