most citedCrafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 2 cited

Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution

Ruofan Zhang, Jinjin Gu, Haoyu Chen +3

Super-resolution (SR) techniques designed for real-world applications commonly encounter two primary challenges: generalization performance and restoration accuracy. We demonstrate…