NAFNet: Fix Blur and Noise Without Enlarging
NAFNet is covered in our image upscaling API comparison as the denoise/deblur step to run before any upscaler touches a rough image.
Data sampled 2026-07-12
NAFNet (Nonlinear Activation Free Network) is a fast, high-quality image restoration model from Megvii Research. It strips the architecture down to essentials, achieving competitive denoising and deblurring results with lower computational cost than more complex alternatives.
NAFNet by Megvii Research is an efficient image restoration model that achieves state-of-the-art denoising and deblurring without nonlinear activation functions. Its simplified architecture delivers fast inference while maintaining high restoration quality.
NAFNet's key insight is that removing traditional nonlinear activations (ReLU, GELU) from the network and replacing them with simple element-wise multiplication actually improves both speed and quality for restoration tasks.
{
"image": "https://replicate.delivery/mgxm/e7a66188-34c6-483b-813f-be5c96a3952b/blurry-reds-0.jpg",
"task_type": "Image Debluring (REDS)"
}
Output
018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7