Comments (4)
When you refer to the "original Image", what does it mean? the GT or the low-quality input?
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the GT (if there exists one like the example I gave, in which the first one is the result in your paper, and the second is the GT)
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Here is the problem. Strictly speaking, image restoration is not strictly faithful to GT. This low-quality version of the test image has been particularly degraded. Important details have been lost. In image restoration, we cannot faithfully restore GT no matter what. We can be faithful only to low-quality input images. To this point, our approach is faithful.
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It's already very good!
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Related Issues (20)
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