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  2. Transparency (graphic) - Wikipedia

    en.wikipedia.org/wiki/Transparency_(graphic)

    This image shows the results of overlaying each of the above transparent PNG images on a background color of #6080A0. Note the gray fringes on the letters of the middle image. This shows how the above images would look when, for example, editing them. The grey and white check pattern would be converted into transparency.

  3. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]

  4. DeepDream - Wikipedia

    en.wikipedia.org/wiki/DeepDream

    DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images.

  5. Visiting card - Wikipedia

    en.wikipedia.org/wiki/Visiting_card

    Visiting card of Johann van Beethoven, brother of Ludwig van Beethoven. A visiting card, also called a calling card, was a small, decorative card that was carried by individuals to present themselves to others. It was a common practice in the 18th and 19th century, particularly among the upper classes, to leave a visiting card when calling on ...

  6. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    AI-based images have become more commonplace in art markets and search engines because AI-based text-to-image systems are trained from pre-existing artistic images, sometimes without the original artist's consent, allowing the software to mimic specific artists' styles.

  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.