We’ve seen NVIDIA’s impressive content aware tool and noise removing tool. They have recently developed a generative adversarial network (GAN) which easily customizes styles of realistic faces and creates new faces. That’s right, these super-realistic faces you can see in the lead image are not real at all!
Xiaomi’s new AI fixes image exposure and detail in low-quality photos
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Chinese company Xiaomi is working on an algorithm that will improve low-quality images. The company wants to compete with Apple regarding smartphone photography, and it has just published a new paper on the AI network called “DeepExposure.” It uses machine learning to improve low-quality images by adding them detail while enhancing colors and brightness.
New neural network repairs damaged and low-quality images
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We’ve seen some of the algorithms that can enhance low-quality photos. The researchers from Oxford University and the Skolkovo Institute of Science and Technology in Moscow have developed a new approach for restoring damaged or low-quality images. Instead of training the neural network with thousands of photos, their system called Deep Image Prior works everything out from the original image. And without any previous learning, it turns a pixelated or damaged photo into a hi-res one.
Neural network creates photo-realistic images of people who aren’t real
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We’ve seen several uses of AI aimed at improving photos. Whether it’s improving their resolution, or turning selfies into decent portraits, they usually work on a single, existing photo. But a method from NVIDIA generates the photos of people that don’t actually exist. And it’s interesting and kinda creepy at the same time.
New algorithm “enhances” low-res photos till they are tack sharp in hi-res
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The scientists of Max Planck Institute for Intelligent Systems in Germany have developed a new algorithm. It enhances low-res images so that they miraculously become hi-res and sharp. It only needs a single low-resolution input, and it will increase its resolution while retaining the realistic textures and details.
Shutterstock’s tech lets you play with text on canvas to find photos. Not there yet
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Shutterstock has introduced their new search tool, which helps you narrow down the search results even further. Composition Aware Search lets you search the images by the position of the objects in them. The tool features a canvas on which you place the keywords. Then you can move them around and get the photos that contain specific objects in a specific order.
