- python = 3.6
- pytorch = 0.4
- numpy
- scipy
- matplotlib
- scikit-image
To reproduce the results in the NAC paper:
- Training and test for Set12 at the same time
python nac_resnet_on_set12.py
Pre-trained models for AWGN denoising on Set12 are provided in the results folder
- Testing for Set12
Modify the specific settings that need to test in test_nac_resnet_on_set12.py
run test_nac_resnet_on_set12.py
#Further comments: The code is mainly written by Yuan Huang.
Part of the code borrow from [Deep Image Prior]