Noisy-As-Clean

Install

• python = 3.6
• pytorch = 0.4
• numpy
• scipy
• matplotlib
• scikit-image

Training

To reproduce the results in the NAC paper:

• Training and test for Set12 at the same time

  python nac_resnet_on_set12.py

Testing

The test is performed after the models are trained.

If you have pre-trained models, for AWGN denoising on Set12, you can modify the specific settings that need to test in test_nac_resnet_on_set12.py

 run test_nac_resnet_on_set12.py

Draw Figrues

The code for drawing the figures in ablation study is provided in the figures folder

 run plot_for_large_sigma.py

Further comments:

The code is mainly written by Yuan Huang.

Part of the code borrow from [Deep Image Prior]