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Image Colorization System Uses AI to Direct Its Choices

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BERKELEY, Calif., July 26, 2017 — A data-driven image colorization technique uses AI and deep learning to colorize images in real-time, providing even novices with the ability to quickly colorize gray scale images with satisfactory results. The system is guided by a Convolutional Neural Network (CNN), which propagates user edits by fusing low-level cues with high-level semantic information learned from large-scale data. The colorization is performed in a single feed-forward pass, enabling real-time use. The CNN is trained to directly map gray scale images, along with user inputs, to the output colorization. The user...Read full article

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