juglab / DivNoising

DivNoising is an unsupervised denoising method to generate diverse denoised samples for any noisy input image. This repository contains the code to reproduce the results reported in the paper https://openreview.net/pdf?id=agHLCOBM5jP

Date Created 2020-08-19 (4 years ago)

Commits 13 (last one 2 years ago)

Stargazers 42 (0 this week)

Watchers 10 (0 this week)

Forks 6

License other

Ranking

RepositoryStats indexes 579,555 repositories, of these juglab/DivNoising is ranked #499,011 (14th percentile) for total stargazers, and #205,697 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #96,266/115,123.

Other Information

There have been 2 releases, the latest one was published on 2021-06-30 (3 years ago) with the name PyTorch Lightning version of DivNoising.

All Topics

noise-model diverse-denoising unsupervised-denoising fully-convolutional-vae

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

2 commits on the default branch (master) since jan '22

Yearly Commits

Commits to the default branch (master) per year

Issue History

No issues have been posted

Languages

The only known language in this repository is Python

updated: 2024-09-07 @ 09:02pm, id: 288691545 / R_kgDOETUVWQ