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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