Supplementary Material: Cross Aggregation Transformer for Image Restoration

Neural Information Processing Systems 

We provide two variant models for image SR, called CA T -R-2 and CA T -A-2. The MLP expansion ratio is set as 4. We use self-ensemble strategy and mark models with "+". The results are shown in Table 1. Output size is 3 512 512 to calculate FLOPs. CA T -R-2 achieves 0.22 dB on Urban100 ( All these results further indicate the effectiveness of our method.

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