NAFNet VS Real-ESRGAN-colab

Compare NAFNet vs Real-ESRGAN-colab and see what are their differences.

NAFNet

The state-of-the-art image restoration model without nonlinear activation functions. (by megvii-research)

Real-ESRGAN-colab

A Real-ESRGAN model trained on a custom dataset (by boomb0om)
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NAFNet Real-ESRGAN-colab
5 1
1,940 44
4.8% -
0.0 0.0
about 2 months ago over 1 year ago
Python Python
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.

NAFNet

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

We haven't tracked posts mentioning NAFNet yet.
Tracking mentions began in Dec 2020.

Real-ESRGAN-colab

Posts with mentions or reviews of Real-ESRGAN-colab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-07.

What are some alternatives?

When comparing NAFNet and Real-ESRGAN-colab you can also consider the following projects:

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

BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Real-ESRGAN - PyTorch implementation of Real-ESRGAN model

traiNNer - traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!

MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

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

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

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.

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