![]() ![]() ![]() 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. Update your settings here, then reload the page to see it. This content is not available due to your privacy preferences.
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