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  2. Text-to-image model - Wikipedia

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

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to ...

  3. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    Besides uncompressed formats and lossless compression formats that can usually be interconverted without any loss of detail, there are compressed formats such as JPEG, which lose detail on nearly every compress. While a conversion from a compressed to an uncompressed format is in general without loss, this is not true the other way around. Even ...

  4. Text-to-image personalization - Wikipedia

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

    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. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Optical character recognition. Optical character recognition or optical character reader ( OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and billboards in a landscape ...

  6. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative AI systems trained on sets of images with text captions include Imagen, DALL-E, Midjourney, Adobe Firefly, Stable Diffusion and others (see Artificial intelligence art, Generative art, and Synthetic media). They are commonly used for text-to-image generation and neural style transfer. [46]

  7. Welch’s wants to grow up with ’90s kids by turning ... - AOL

    www.aol.com/finance/welch-wants-grow-90s-kids...

    Wine to juice and juice to alcohol: the former temperance company pulls on the nostalgia chords especially for younger generations

  8. Wikipedia:Extended image syntax - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Extended_image...

    Place the image in the center of the page. The article text that follows the image is placed below the image. none Place the image on the left side of the page. The article text that follows the image is placed below the image. Nothing specified, and neither thumb nor frame The image is placed inline with the text, like this.

  9. Automatic image annotation - Wikipedia

    en.wikipedia.org/wiki/Automatic_image_annotation

    Automatic image annotation. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrieval systems to organize and ...

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