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DPC-Net achieves unprecedented image restoration quality by seamlessly integrating semantic understanding with low-level visual cues, outperforming existing methods on multiple benchmarks.
MeanSR achieves state-of-the-art perceptual super-resolution with a single inference step, drastically cutting down on computational costs while enhancing image quality.
DualTSR achieves a remarkable 12.78 percentage point improvement in accuracy while slashing model parameters from 1.23B to just 203M.