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The implementation of the paper "Brightness-Adjustable Low-Light Image Enhancement via Noise-Only Training Scheme"

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NOTNet

The implementation of the paper "Brightness-Adjustable Low-Light Image Enhancement via Noise-Only Training Scheme"

NOTNet is inspired by NoiSER, and our implementation is developed from Zero-DCE. Thanks for your attention to these work!

Requirements

  • Python 3.8
  • Pytorch 2.1.0
  • torchvision 0.16.0
  • opencv 4.5.3
  • cuda 12.0

All you need is basic environment.

Train

python train_with_noises.py 

Test

python test_with_real_images.py --V=0.6

Please adjust the V value manually to meet your need.

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The implementation of the paper "Brightness-Adjustable Low-Light Image Enhancement via Noise-Only Training Scheme"

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