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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.
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.
The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated. [citation needed] This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator. [65]
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.
Eigenface provides an easy and cheap way to realize face recognition in that: Its training process is completely automatic and easy to code. Eigenface adequately reduces statistical complexity in face image representation. Once eigenfaces of a database are calculated, face recognition can be achieved in real time.
Hugging Face, Inc. is an American company incorporated under the Delaware General Corporation Law [1] and based in New York City that develops computation tools for ...
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Computer facial animation is primarily an area of computer graphics that encapsulates methods and techniques for generating and animating images or models of a character face. The character can be a human , a humanoid, an animal , a legendary creature or character, etc. Due to its subject and output type, it is also related to many other ...