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  2. Wombo - Wikipedia

    en.wikipedia.org/wiki/Wombo

    Dream is an image and video generation app powered by Stable Diffusion. It can be used to create images from text using a variety of style presets. It can also generate a deepfake using 5-10 images of source material. The app includes a premium tier, which gives users priority processing time and no in-app ads. [1] Wombo processes images in the ...

  3. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    [3] Lisa Lacy of CNET called its example videos "remarkably realistic – except perhaps when a human face appears close up or when sea creatures are swimming". [ 4 ] Filmmaker Tyler Perry announced he would be putting a planned $800 million expansion of his Atlanta studio on hold, expressing concern about Sora's potential impact on the film ...

  4. 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]

  5. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  6. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    A voiceover was provided by an actor, and AI trained using video of Tiwari speeches was used to lip-sync the video to the new voiceover. A party staff member described it as a "positive" use of deepfake technology, which allowed them to "convincingly approach the target audience even if the candidate didn't speak the language of the voter."

  7. Generative adversarial network - Wikipedia

    en.wikipedia.org/wiki/Generative_adversarial_network

    The generator is decomposed into a pyramid of generators =, with the lowest one generating the image () at the lowest resolution, then the generated image is scaled up to (()), and fed to the next level to generate an image (+ (())) at a higher resolution, and so on. The discriminator is decomposed into a pyramid as well.

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