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nafnet-lowlight-denoise-sr
HariomPandeyIITMadras/nafnet-lowlight-denoise-sr
nafnet-lowlight-denoise-sr is a machine learning model from HariomPandeyIITMadras. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Trained from scratch on a low-light noisy image dataset (1105 train pairs, 267 val pairs). Architecture: NAFNet (Nonlinear Activation Free Network) — U-Net encoder-decoder with LayerNorm + SimpleGate blocks, PixelShuf…
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Updated Sep 7, 2026
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At a glance
- Access
- Public
- Created
- Sep 7, 2026
- Updated
- Sep 7, 2026
- SHA
- c69946d9
Model card
From the Hugging Face model README
NAFNet — Low-Light Denoising + 4x Super-Resolution
Trained from scratch on a low-light noisy image dataset (1105 train pairs, 267 val pairs). Architecture: NAFNet (Nonlinear Activation Free Network) — U-Net encoder-decoder with LayerNorm + SimpleGate blocks, PixelShuffle upsampling head, global bicubic-residual connection. Width=48, trained 60 epochs.
Validation Real PSNR: ~38 dB
- Created
- Sep 7, 2026
- Updated
- Sep 7, 2026