GTA 5 Graphics Are Now Being Boosted By Advanced AI At Intel
Researchers at Intel Labs have applied machine learning techniques to GTA 5 to make it look incredibly realistic. Gizmodo reports: [I]nstead of training a neural network on famous masterpieces, the researchers at Intel Labs relied on the Cityscapes Dataset, a collection of images of a German city's urban center captured by a car's built-in camera, for training. When a different artistic style is applied to footage using machine learning techniques, the results are often temporally unstable, which means that frame by frame there are weird artifacts jumping around, appearing and reappearing, that diminish how real the results look. With this new approach, the rendered effects exhibit none of those telltale artifacts, because in addition to processing the footage rendered by Grand Theft Auto V's game engine, the neural network also uses other rendered data the game's engine has access to, like the depth of objects in a scene, and information about how the lighting is being processed and rendered. That's a gross simplification -- you can read a more in-depth explanation of the research here -- but the results are remarkably photorealistic. The surface of the road is smoothed out, highlights on vehicles look more pronounced, and the surrounding hills in several clips look more lush and alive with vegetation. What's even more impressive is that the researchers think, with the right hardware and further optimization, the gameplay footage could be enhanced by their convolutional network at "interactive rates" -- another way to say in real-time -- when baked into a video game's rendering engine.

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