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  2. StyleGAN - Wikipedia

    en.wikipedia.org/wiki/StyleGAN

    The second version of StyleGAN, called StyleGAN2, was published on February 5, 2020. It removes some of the characteristic artifacts and improves the image quality. [6] [7] In 2021, a third version was released, improving consistency between fine and coarse details in the generator. Dubbed "alias-free", this version was implemented with pytorch ...

  3. Human image synthesis - Wikipedia

    en.wikipedia.org/wiki/Human_image_synthesis

    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]

  4. Artbreeder - Wikipedia

    en.wikipedia.org/wiki/Artbreeder

    Additionally, any image can be "crossbred" with other publicly viewable images from the database, using a slider to control how much of each image should influence the resulting "child". [ 2 ] [ 5 ] The site also allows for uploading new images, which the model will attempt to convert into the latent space of the network.

  5. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    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]

  6. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    Example of an image made with Flux 1.1 Pro in Raw mode, this mode is designed to generate photorealistic rendering. In 2024, Flux was released, this model can generate realistic images with consistent results and was integrated into Grok, the chatbot used on X (formerly Twitter), and Le Chat, the chatbot of Mistral AI.

  7. FaceApp - Wikipedia

    en.wikipedia.org/wiki/FaceApp

    FaceApp is a photo and video editing application for iOS and Android developed by FaceApp Technology Limited, a company based in Cyprus. [1] The app generates highly realistic transformations of human faces in photographs by using neural networks based on artificial intelligence.