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Show the neural network a low-resolution brick building and it will add a suitable brick pattern in the high-res version. Show the neural network a low-resolution image of a face and it will figure out that it's a face and fill in the right details for the subject's eyes, nose, and mouth. "The algorithm learns to 'fill in' information in new images based on what it has learned, effectively adding new detail to your photo." "A neural network analyzes thousands of photo pairs to learn how details usually get lost," Topaz Labs explains on their product page for Gigapixel AI. The low-resolution images become your inputs, and the high-resolution originals serve as the "correct" answer the network is aiming to produce.

But for image upscaling, there's a convenient shortcut: you start with high-resolution images and downsample them. Sometimes AI researchers have to hire human beings to produce these right answers by hand. To train a network, you need to have a database of examples where the right answer is already known.

The hope is that this training will generalize-that once you've trained it to produce the right answer for inputs the network has seen before, it will produce good answers for inputs it hasn't seen, too. The key feature of neural networks is that they can be trained: if you have a bunch of example inputs whose "correct" outputs are known, you can tune the parameters of the network to make it more likely to produce correct answers. Using sophisticated neural networks, Gigapixel AI adds realistic details into an image to avoid making it look blurry as it's scaled up.Īs the name implies, neural networks are networks of artificial neurons-mathematical functions that transform a set of input values into an output value. Created by Topaz Labs, the package allows customers to upscale images by up to 600 percent. How did Shiryaev do it? He says he used commercial image-editing software called Gigapixel AI. Formerly murky details of the train, the clothing, and the faces of the passengers now stand out clearly. Watching the upscaled version makes the world of our great-great-great-grandparents come to life.