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DPAMixerSR: An Efficient Degradation-Pattern-Aware Model for Image Super-Resolution
While content-adaptive schemes have delivered notable advances in image super-resolution (SR), existing approaches typically focus on texture complexity and ignore intrinsic degradation factors (e.g., blur kernels or noise patterns), leading to suboptimal computation allocation and reconstruction pe
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