Google Brain has created new software that can create detailed images from tiny, pixelated images. If you’ve ever tried zooming in on an image, you know that it generally becomes more blurry. You’d just get larger pixels and not a clear image. Google’s new software effectively extracts details from a few source pixels to enhance pixelated images. Softpedia reports: For instance, Google Brain presented some 8×8 pixel images which it then turned into some pretty clear photos where you can actually tell facial features apart. What is this sorcery, you ask? Well, it’s Google combining two neural networks. The first one, the conditioning network, works to map the 8×8 pixel source image against other high-resolution images. Basically, it downsizes other high-res images to the same 8×8 size and tries to make a match on the features. Then, the second network comes into play, called the prior network. This one uses an implementation of PixelCNN to add realistic, high-res details to that 8×8 source image. If the networks know that one particular pixel could be an eye, when you zoom in, you’ll see the shape of an eye there. Or an eyebrow, or a mouth, for instance. The technology was put to the test and it was quite successful against humans. Human observers were shown a high-resolution celebrity face vs. the upscaled image resulted from Google Brain. Ten percent of the time, they were fooled. When it comes to the bedroom images used by Google for the testing, 28 percent of humans were fooled by the computed image.
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