• Nir Zicherman – How AI Image Models Work

    https://every.to/p/how-ai-image-models-work

     

    By drawing an analogy to a children’s game where noise in sentences must be corrected to reveal coherent plots, Zicherman elucidates how AI models iteratively remove noise from images to generate clear visuals. The process involves training AI to recognize patterns in noisy data and directing it with specific textual prompts to produce desired images. This demystifies the complex mathematics and computing underlying modern AI image generation.

     

     

  • GretagMacbeth Color Checker Numeric Values and Middle Gray

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    The human eye perceives half scene brightness not as the linear 50% of the present energy (linear nature values) but as 18% of the overall brightness. We are biased to perceive more information in the dark and contrast areas. A Macbeth chart helps with calibrating back into a photographic capture into this “human perspective” of the world.

    https://en.wikipedia.org/wiki/Middle_gray

    In photography, painting, and other visual arts, middle gray or middle grey is a tone that is perceptually about halfway between black and white on a lightness scale in photography and printing, it is typically defined as 18% reflectance in visible light

    Light meters, cameras, and pictures are often calibrated using an 18% gray card[4][5][6] or a color reference card such as a ColorChecker. On the assumption that 18% is similar to the average reflectance of a scene, a grey card can be used to estimate the required exposure of the film.

    https://en.wikipedia.org/wiki/ColorChecker

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