AI image generation employs artificial intelligence to produce visual content from textual or visual inputs, reflecting an emerging field that synthesizes traditional artificial intelligence with computer vision While initial image generation methods incorporated techniques such as Fourier transforms and pattern matching, contemporary approaches utilize neural networks to extract semantic information from input data, generating new images that adhere to the desired content and distribution .Shaders often serve as inspiration for these AI-based technologies, wherein computer programs written in a shading language—for example, OpenGL SuperBible system shaders—render images or effects pixel by pixel. They require an appropriate shading language compiler for image reading. Depending on the specific application or objective, the output image can be a random portrayal or visually aligned with the input scene.
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