MPRNet VS NAFNet

Compare MPRNet vs NAFNet and see what are their differences.

MPRNet

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising. (by swz30)

NAFNet

The state-of-the-art image restoration model without nonlinear activation functions. (by megvii-research)
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MPRNet NAFNet
1 5
1,106 2,013
- 3.1%
4.6 0.0
24 days ago 19 days ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

MPRNet

Posts with mentions or reviews of MPRNet. We have used some of these posts to build our list of alternatives and similar projects.

NAFNet

Posts with mentions or reviews of NAFNet. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MPRNet and NAFNet you can also consider the following projects:

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

tdanet - The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020 (oral)

DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

FBCNN - Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

Restormer - [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Im2Vec - [CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision

involution - [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator