The document appears to be a technical paper describing a machine learning model for image restoration. It presents results of the proposed model on several benchmark datasets compared to other methods. The model uses an operation-wise attention mechanism to identify and restore corrupted image regions. Results show the method works well for various types of image distortions and outperforms previous single image restoration approaches.

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