Nvidia has created a neural network to replicate images of human beings (and cats) that pass the uncanny valley test. While computers tend to fall short of photorealism, and hence make most people feel dreadfully uncomfortable, Nvidia’s latest research paper offers up a new architecture for neural networks that might be able to trick our mortal minds. Now this research paper doesn’t make for easy reading unless you’re into generative adversarial networks (GAN), a type of machine learning neural network, but the results of the study speak for themselves. No, actually that would be terrifying. Thankfully they don’t speak… yet. With a helping hand from a high-quality database of human faces, the researchers over at Nvidia were able to produce highly-realistic images of people. Or at least they look like people. None of the beings in the pictures actually exist, they are simply what this neural network believes people should look like. Each one has been created by a learning system that utilises sets of “styles” to generate lifelike images with terrifying accuracy.
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