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  2. 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.

  3. Windows 10 - Wikipedia

    en.wikipedia.org/wiki/Windows_10

    The 32-bit variants of Windows 10 will remain available via non-OEM channels, and Microsoft will continue to "[provide] feature and security updates on these devices". [291] This was later followed by Windows 11 dropping support for 32-bit hardware altogether, thus making Windows 10 the final version of Windows to have a 32-bit version ...

  4. StyleGAN - Wikipedia

    en.wikipedia.org/wiki/StyleGAN

    During training, at first only , are used in a GAN game to generate 4x4 images. Then G N − 1 , D N − 1 {\displaystyle G_{N-1},D_{N-1}} are added to reach the second stage of GAN game, to generate 8x8 images, and so on, until we reach a GAN game to generate 1024x1024 images.

  5. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco-based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.

  6. Generative artificial intelligence - Wikipedia

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

    Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [128] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [ 129 ] and reweighting training data.

  7. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E, and pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.

  8. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    The Stable Diffusion model supports the ability to generate new images from scratch through the use of a text prompt describing elements to be included or omitted from the output. [8] Existing images can be re-drawn by the model to incorporate new elements described by a text prompt (a process known as "guided image synthesis" [ 49 ] ) through ...

  9. List of archive formats - Wikipedia

    en.wikipedia.org/wiki/List_of_archive_formats

    Windows Image: Windows: Windows: Yes File-based disk image format developed to deploy Microsoft Windows. .xar application/x-xar XAR: Multiple Multiple Yes .xp3 KiriKiri: Windows: Windows: Yes Native format of the Open Source KiriKiri Visual Novel engine. Uses combination of block splitting and zlib compression. The filenames and pathes are ...

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