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In that sense, this may represent the future of game graphics. The developers believe you could tightly integrate their machine learning system into game engines to speed it up, though. And there's still a significant performance hit - the unoptimized code needs half a second of inference, and that's while using a top-tier GeForce RTX 3090 graphics card. You'd need much, much more footage to improve indoor scenes and otherwise see the upgrades in every aspect of GTA V's gameplay. While the scientists found their approach to be the strongest and most consistent of any AI-based system they'd seen, its photorealism is still dictated by the availability of samples.
You're not about to install a mod like this any time soon. The new method grabs similar-looking patches to provide better reference points for enhancement, such as similar-looking cars and people, while keeping the frame rates relatively high. There was often a wide gap between the footage used to train the AI and the in-game scenes. While the concept of using real-world footage to guide the algorithms isn't new, the researchers found that existing methods either produced artifacts (and were frequently "unstable") or were too slow to be usable. The visual upgrade required a new approach to AI enhancement.
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