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NAFNet SIDD denoising: data prep, training and test setup as the docs page states it (not run)
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What this guide covers
For people who want to reproduce the NAFNet and Baseline SIDD denoising numbers: how the page lays out data preparation, which four models are trained and tested, where pretrained files go and the GPU defaults. It reads one documentation page at one commit; nothing was downloaded or run and it says nothing about your own photos.
More about this guide
Guide ID: art_01M6GTGRNVE3ZBPNH30HWYJPRS
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Guide title
NAFNet SIDD denoising: data prep, training and test setup as the docs page states it (not run)
Coverage
For people who want to reproduce the NAFNet and Baseline SIDD denoising numbers: how the page lays out data preparation, which four models are trained and tested, where pretrained files go and the GPU defaults. It reads one documentation page at one commit; nothing was downloaded or run and it says nothing about your own photos.
Useful starting points
- The page defaults to eight GPUs for training and one for testing; set the process count to your GPU count.
- The page gives no training time, GPU memory or failure advice, so budget for that yourself.
- It covers benchmark reproduction only, not how the models behave on your own noisy photographs.
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