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: Modern restoration relies on machine learning models trained on vast image datasets. These networks look at the edges of a blurred pixel grid and predict what the underlying high-resolution image should look like, effectively "reconstructing" missing visual details rather than simply uncovering them. These networks look at the edges of a
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