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Researchers at Intel Labs have utilized machine studying methods to GTA 5 to make it look extremely real looking. Gizmodo stories: [I]nstead of coaching a neural community on well-known masterpieces, the researchers at Intel Labs relied on the Cityscapes Dataset, a set of photos of a German metropolis’s city middle captured by a automobile’s built-in digital camera, for coaching. When a special creative fashion is utilized to footage utilizing machine studying methods, the outcomes are sometimes temporally unstable, which implies that body by body there are bizarre artifacts leaping round, showing and reappearing, that diminish how actual the outcomes look. With this new strategy, the rendered results exhibit none of these telltale artifacts, as a result of along with processing the footage rendered by Grand Theft Auto V’s recreation engine, the neural community additionally makes use of different rendered knowledge the sport’s engine has entry to, just like the depth of objects in a scene, and details about how the lighting is being processed and rendered.
That is a gross simplification — you possibly can learn a extra in-depth rationalization of the analysis right here — however the outcomes are remarkably photorealistic. The floor of the street is smoothed out, highlights on automobiles look extra pronounced, and the encircling hills in a number of clips look extra lush and alive with vegetation. What’s much more spectacular is that the researchers suppose, with the best {hardware} and additional optimization, the gameplay footage might be enhanced by their convolutional community at “interactive charges” — one other method to say in real-time — when baked right into a online game’s rendering engine.
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