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  2. Zalgo text - Wikipedia

    en.wikipedia.org/wiki/Zalgo_text

    A Zalgo-text effect applied to the words "ZALGO TEXT" Zalgo text, also known as cursed text or glitch text, is digital text that has been modified with numerous combining characters, Unicode symbols used to add diacritics above or below letters, to appear frightening or glitchy.

  3. Glitch art - Wikipedia

    en.wikipedia.org/wiki/Glitch_art

    Animated example of what a glitched video can look like, by Michael Betancourt (Mae Murray in a screen test). Glitch art is an art movement centering around the practice of using digital or analog errors, more so glitches, for aesthetic purposes by either corrupting digital data or physically manipulating electronic devices.

  4. Databending - Wikipedia

    en.wikipedia.org/wiki/Databending

    Databending is frequently employed in glitch art, [2] and is considered a sub-category of the genre. [1] The sonification technique is commonly used by glitch musicians such as Alva Noto. [1] Ahuja and Lu summarized the process through a quote by Adam Clark Estes of Gizmodo as "the internet's code-heavy version of graffiti."

  5. Compression artifact - Wikipedia

    en.wikipedia.org/wiki/Compression_artifact

    Compression artifacts may intentionally be used as a visual style, sometimes known as "glitch art". Rosa Menkman's glitch art makes use of compression artifacts, [16] particularly the discrete cosine transform blocks (DCT blocks) found in most digital media data compression formats such as JPEG digital images and MP3 digital audio. [2]

  6. Computer-generated imagery - Wikipedia

    en.wikipedia.org/wiki/Computer-generated_imagery

    Computer-generated imagery (CGI) is a specific-technology or application of computer graphics for creating or improving images in art, printed media, simulators, videos and video games. These images are either static (i.e. still images) or dynamic (i.e. moving images).

  7. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.