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A direct predecessor of the StyleGAN series is the Progressive GAN, published in 2017. [9]In December 2018, Nvidia researchers distributed a preprint with accompanying software introducing StyleGAN, a GAN for producing an unlimited number of (often convincing) portraits of fake human faces.
FaceGen 3.3 allows the user to randomize, tween, normalize and exaggerate faces, and also includes algorithms for adjusting apparent age, ethnicity and gender. It also allows limited parametric control of facial expressions, and includes a set of phoneme expressions for the animation of characters with "speaking" roles.
However, the generated faces were noted as "creepy and 'off '", and still nowhere near the quality attained by actual digital artists. [ 6 ] Additionally, the site faced criticism for perceived confusing aspects of the AI's behavior.
Outputs of the generator network from random input were made publicly available on a number of websites. [ 33 ] [ 34 ] Similarly, since 2018, deepfake technology has allowed GANs to swap faces between actors; combined with the ability to fake voices, GANs can thus generate fake videos that seem convincing.
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The generation of new faces is based on a pre-existing database of example faces acquired through a 3D scanning procedure. All these faces are in dense point-to-point correspondence, which enables the generation of a new realistic face (morph) by combining the acquired faces. A new 3D face can be inferred from one or multiple existing images of ...
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