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A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .
Other programs allow one to automatically convert an image to text characters, which is a special case of vector quantization. A method is to sample the image down to grayscale with less than 8-bit precision, and then assign a character for each value. Such ASCII art generators often allow users to choose the intensity and contrast of the ...
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Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. 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 ...
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Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [ 6 ] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [ 4 ]
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Screenshot of an iOS 17 home screen, displaying various built-in apps. Apple Inc. develops many apps for iOS that come bundled by default or installed through system updates. . Several of the default apps found on iOS have counterparts on Apple's other operating systems such as macOS, iPadOS, watchOS, and tvOS, which are often modified versions of or similar to the iOS applicati
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