Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction Zeshuai Deng 1 Zhuokun Chen

Neural Information Processing Systems 

Image super-resolution (SR) aims to learn a mapping from low-resolution (LR) to high-resolution (HR) using paired HR-LR training images.

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