MPRNet VS Restormer

Compare MPRNet vs Restormer and see what are their differences.

MPRNet

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

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. (by swz30)
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MPRNet Restormer
1 3
1,106 1,545
- -
4.6 3.8
18 days ago 18 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.

Restormer

Posts with mentions or reviews of Restormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-05.

What are some alternatives?

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

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

NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.

maxim-pytorch - [CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

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

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

HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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

transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022

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

DirectVoxGO - Direct voxel grid optimization for fast radiance field reconstruction.