Restoring-Extremely-Dark-Images-In-Real-Time
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The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"
  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.
Could you fix this problem?
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...