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  2. How Photoshop’s new Neural Filters harness AI to ... - AOL

    www.aol.com/news/photoshop-neural-filters...

    Adobe today launched a new AI-powered workspace for Photoshop that can apply a range of different effects and filters to photos within seconds. The first of these so-called Neural Filters are Skin ...

  3. Adobe Photoshop - Wikipedia

    en.wikipedia.org/wiki/Adobe_Photoshop

    Adobe Photoshop is a raster graphics editor developed and published by Adobe for Windows and macOS.It was created in 1987 by Thomas and John Knoll.It is the most used tool for professional digital art, especially in raster graphics editing, and its name has become genericised as a verb (e.g. "to photoshop an image", "photoshopping", and "photoshop contest") [7] although Adobe disapproves of ...

  4. Text-to-image personalization - Wikipedia

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

    Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.

  5. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image sharpening: original (top), image sharpened (bottom). Another form of image sharpening involves a form of contrast. This is done by finding the average color of the pixels around each pixel in a specified radius, and then contrasting that pixel from that average color. This effect makes the image seem clearer, seemingly adding details.

  6. Photoshop unveils ‘extraordinary’ AI that transforms your ...

    www.aol.com/photoshop-unveils-extraordinary-ai...

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  7. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.