nafnet-ll-ssr-x4

thethinkmachine/nafnet-ll-ssr-x4

nafnet-ll-ssr-x4 is a machine learning model from thethinkmachine. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.

A joint denoising and 4× super-resolution model for noisy low-light images, mapping 256×160 LR inputs to 1024×640 HR outputs.

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Hugging Face

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.pt9.3 MB · 100%

At a glance

Library: pytorch
License: mit
Access: Public
Created: Sep 8, 2026
Updated: Sep 8, 2026
SHA: 9d8e56c1

Model card

From the Hugging Face model README

Low-Light Denoising + 4× Super-Resolution (NAFNet)

A joint denoising and 4× super-resolution model for noisy low-light images, mapping 256×160 LR inputs to 1024×640 HR outputs.

Recovered Degradation Model

The image degradation process recovered from the training data is:

LR = round(clip(box4(HR) + N(0, sqrt(2.514 × I + 2.037))))

where box4 denotes 4× box downsampling and the noise follows an intensity-dependent Gaussian model.

Load the Model

from huggingface_hub import hf_hub_download
import torch

ckpt_path = hf_hub_download(
    repo_id="piushdasss/nppe-lowlight-sr-nafnet",
    filename="model.pt",
)

ckpt = torch.load(
    ckpt_path,
    map_location="cpu",
)

Results

Metric	Result
Test-like holdout PSNR	37.131 dB
Official validation PSNR	39.3 dB
Model parameters	2.30M