Awesome

Final project DD2412

This is final project from the course DD2412-Deep Learning, Advanced project.

In this project we reproduce the experiments and conducted a study from the paper:

• Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, and Deyu Meng. Variational denoising network: Toward blind noise modeling and removal. (NeurIPS, 2019) arXiv

Find our report here: report

Requirements:

• Python 3.7.*
• Pytorch 1.2.0

How to run:

Training:

For simulated noise:

python simulation_training.py

For benchmark train:

• First obtain the training and validation data files by running:

python datasets/train_data_sidd.py

python datasets/validation_data_sidd.py

• Then train by running:

python benchmark_training.py

this file performs training and validation

Testing

For testing the simulation train:

python Testing_simulation.py

Authors:

• Abgeiba Isunza Navarro
• Walid A Jalil
• Pratima Rao A