[SUGGESTION] More algos, more fun ? (plugins ?)

[MarcoRavich]

Since aydin is THE defacto more comprehensive denoising suite, it would be great to implement all useful/efficient/functional algorithms available on "the scene" - or, at least, on github - in it (note: could a "plugins-like approach" stimulate respective authors to release them independently?).

Here's some (re)sources we've collected some time ago (some are certainly already implemented in aydin, sorry):

• @joelek's denice
• @xinntao's BasicSR
• @tuvovan's MIRNet
• @JiaxiongQ's Denoise
• @m-tassano's FastDVDnet
• @Michael-Shamouilian's FastTVD
• @MarieRoald's CondatTV
• @pornosaur's Implementation of Stochastic Image Denoising
• @Sohambasu07's Baseline Image Denoiser
• @matlabf's image-denoise
• @yilmazdoga's Deep Residual Autoencoder for Real Image Denoising
• @AomanHao Matlab-Image-Denoise

Hope that inspires and, if you like, more will come.

EDIT: forgot to add some "awesome lists":

• @z-bingo's Awesome Image or Video Denoising Algorithms
• @oneTaken's Awesome-Denoise

[tuvovan]

I'm very happy to contribute if needed!

[AhmetCanSolak]

Thank you for the issue @forart

@tuvovan we would love to see you as a contributor, do you have a PyTorch implementation of MIRNet?

[MarcoRavich]

We're glad to see possible upcoming collaborations.

We will therefore continue here to link denoising projects (and tag their authors) that could be interesting for - possible - mutual improvements.

For example @NVlabs (and @yu4u / @jszk / @hanyoseob)'s Noise2Noise or @mohakpatel's ImageCleaning, but @mysteryx93's xClean or @Setsugennoao's vs-denoise too.

More to come.