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PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

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Hi, I am confusing about the "In other words, AirNet under AIO is the model trained on the collection of all the datasets that consists of three corruptions (i.e., noise,...

I am very interested in this paper, but I have developed some alienation while reading the code. May I ask how many 2080Ti gpus were used for training in this...

Hello, professors, How to generate the path of the training dataset and store the path in the corresponding document? Thanks!

Before the question, I really thank you for the great research on multi degradation restoration. But while reading your paper, I was curious on two things. 1. You generated the...

Hello, professors, How to generate the path of the training dataset and store the path in the corresponding document? Thanks!

Hi. I found that the MoCo model in your implementation will not call the batch_shuffle_ddp() and batch_unshuffle_ddp before and after normalizing. Could you explain the reason? Will these two functions...

Hi,I'm very interested in this paper. I am confused about how to divide the data set. If possible, can you share the data set for the experiment. Looking forward to...

Thanks for your excellent work! Also, may I ask if you've tried training AirNet on images with multiple degradations that simultaneously present in one image? Do you think this is...

![image](https://github.com/XLearning-SCU/2022-CVPR-AirNet/assets/105021482/4cbfc511-4b16-47df-bd04-bdbc8757fc7c) Like above image, this command don't work in Ubuntu 20.04.6 LTS