UGTSR improves codebook-based blind super-resolution by combining uncertainty-guided loss weighting, top-3 codebook matching, and an align-attention module for fusing low- and high-quality features.
Image super- resolution using very deep residual channel attention networks,
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Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution
UGTSR improves codebook-based blind super-resolution by combining uncertainty-guided loss weighting, top-3 codebook matching, and an align-attention module for fusing low- and high-quality features.