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Hello, could you please explain the difference between low_blur_noise and low_blur in the training dataset? When training, we treat low_sharp as the ground truth, and the input can be either low_blur_noise or low_blur, correct? Another question is about the role of high_sharp_scaled and high_sharp_original. Could you clarify their purposes?Thanks!!!!!!
The text was updated successfully, but these errors were encountered:
Hello, could you please explain the difference between low_blur_noise and low_blur in the training dataset? When training, we treat low_sharp as the ground truth, and the input can be either low_blur_noise or low_blur, correct? Another question is about the role of high_sharp_scaled and high_sharp_original. Could you clarify their purposes?Thanks!!!!!!
The text was updated successfully, but these errors were encountered: