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An image generated using StyleGAN that looks like a portrait of a young woman. This image was generated by an artificial neural network based on an analysis of a large number of photographs. The Style Generative Adversarial Network , or StyleGAN for short, is an extension to the GAN architecture introduced by Nvidia researchers in December 2018 ...
The website Artbreeder, launched in 2018, uses the models StyleGAN and BigGAN [53] [54] to allow users to generate and modify images such as faces, landscapes, and paintings. [55] In the 2020s, text-to-image models, which generate images based on prompts, became widely used, marking yet another shift in the creation of AI generated artworks. [2]
Making faces move. Microsoft’s new AI model was trained on numerous videos of people’s faces while speaking, and it’s designed to recognize natural face and head movements, including “lip ...
Study also raises concerns about AI algorithms being disproportionately trained on white 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. [35]
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