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The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

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![image](https://user-images.githubusercontent.com/90187836/176477076-f811a1b6-6e3d-4a0a-9717-8e05781ae0f9.png) ![image](https://user-images.githubusercontent.com/90187836/176477242-6f83f03d-fab2-4e12-8f6b-132a76a1cc85.png) please response me,thanks!!!

These three scales 2x, 8x, and 32x in the network.py are executed sequentially in the forward of the same network, not in parallel

Hi, You did a really nice job, congratulations! Do you mind sharing how you get Ma metric? I am trying to use the code from https://github.com/chaoma99/sr-metric but it seems not...

Thank you for the interesting solution. It would be nice to have it ported to JS, lets say with TFJS.

1. sid and did use 0/* for training and you use 0/* +2/* for training? 2. sid and did use data config(0.1+0.04->10/30) and you use (0.1->10/30)? more training data and...