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2. Elon Musk’s AI photo tool is generating realistic, fake ...

   www.aol.com/elon-musk-ai-photo-tool-140600421.html

   Elon Musk’s AI chatbot Grok on Tuesday began allowing users to create AI-generated images from text prompts and post them to X. Almost immediately, people began using the tool to flood the ...

3. ASCII art - Wikipedia

   en.wikipedia.org/wiki/ASCII_art

   The limitations of computers of that time period necessitated the use of text characters to represent images. Along with ASCII's use in communication, however, it also began to appear in the underground online art groups of the period. An ASCII comic is a form of webcomic which uses ASCII text to create images. In place of images in a regular ...

4. Stable Diffusion - Wikipedia

   en.wikipedia.org/wiki/Stable_Diffusion

   Stable Diffusion. Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom .

5. DALL-E - Wikipedia

   en.wikipedia.org/wiki/DALL-E

   DALL·E, DALL·E 2, and DALL·E 3 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. DALL·E 3 was released natively ...

6. Rendering (computer graphics) - Wikipedia

   en.wikipedia.org/wiki/Rendering_(computer_graphics)

   Rendering or image synthesis is the process of generating a photorealistic or non-photorealistic image from a 2D or 3D model by means of a computer program. [citation needed] The resulting image is referred to as a rendering. Multiple models can be defined in a scene file containing objects in a strictly defined language or data structure.

7. Thresholding (image processing) - Wikipedia

   en.wikipedia.org/wiki/Thresholding_(image...

   Entropy-based methods result in algorithms that use the entropy of the foreground and background regions, the cross-entropy between the original and binarized image, etc., [6] Object Attribute-based methods search a measure of similarity between the gray-level and the binarized images, such as fuzzy shape similarity, edge coincidence, etc.,