Deep Wiener Deconvolution:

This repository is a PyTorch implementation of the paper:

Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring

Jiangxin Dong, Stefan Roth, and Bernt Schiele

To appear at NeurIPS 2020 (Oral Presentation)

Please proceed to their official implementation code page for original codes. [Official Page]

Requirements

Compatible with Python 3

Main requirements: PyTorch newest version as of 2023 Jan

To install requirements:

pip install torch torchvision
pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
.idea		.idea
data		data
data_generation		data_generation
evaluation		evaluation
images		images
logger		logger
loss		loss
model		model
.gitignore		.gitignore
README.md		README.md
main.py		main.py
median_pool.py		median_pool.py
option.py		option.py
requirements.txt		requirements.txt
template.py		template.py
trainer_vd.py		trainer_vd.py
utils_deblur.py		utils_deblur.py