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

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RepositoryStats indexes 585,880 repositories, of these juglab/DivNoising is ranked #503,462 (14th percentile) for total stargazers, and #206,429 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #97,384/116,710.

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

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