Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting

Neural Information Processing Systems 

State-of-the-art image restoration methods currently face challenges in terms of computational requirements and performance, making them impractical for deployment on edge devices such as phones and resource-limited devices.

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