Introducing MambaIR as a simple but effective baseline for image restoration, enhancing global receptive fields and computational efficiency.
The CU-Mamba model effectively captures both global spatial context and channel-wise feature correlations for high-quality image restoration, outperforming state-of-the-art methods while maintaining a lower computational cost.