Image Super-Resolution ML Frameworks
Deep learning models and implementations for upscaling low-resolution images to higher resolution. Includes SISR (single-image super-resolution) frameworks, GAN-based methods, and domain-specific applications (satellite, infrared, video). Does NOT include general image upscaling tools, image enhancement, denoising, or inpainting without a super-resolution focus.
There are 60 image super-resolution frameworks tracked. 4 score above 50 (established tier). The highest-rated is eugenesiow/super-image at 55/100 with 193 stars and 8,536 monthly downloads.
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
eugenesiow/super-image
Image super resolution models for PyTorch. |
|
Established |
| 2 |
NatLabRockies/sup3r
The Super-Resolution for Renewable Resource Data (sup3r) software uses... |
|
Established |
| 3 |
HasnainRaz/Fast-SRGAN
A Fast Deep Learning Model to Upsample Low Resolution Videos to High... |
|
Established |
| 4 |
the-database/traiNNer-redux
Deep learning training framework for image super resolution and restoration. |
|
Established |
| 5 |
idealo/image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and... |
|
Emerging |
| 6 |
EscVM/RAMS
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely... |
|
Emerging |
| 7 |
brade31919/SRGAN-tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution |
|
Emerging |
| 8 |
movehand/raisr
A Python implementation of RAISR |
|
Emerging |
| 9 |
jiny2001/dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by... |
|
Emerging |
| 10 |
jmiller656/EDSR-Tensorflow
Tensorflow implementation of Enhanced Deep Residual Networks for Single... |
|
Emerging |
| 11 |
neosr-project/neosr
neosr is an open-source framework for training super-resolution models. |
|
Emerging |
| 12 |
ServiceNow/HighRes-net
Pytorch implementation of HighRes-net, a neural network for multi-frame... |
|
Emerging |
| 13 |
andrewdalpino/MewZoom
Ultra high-quality image super-resolution for purrfect pixels. |
|
Emerging |
| 14 |
somanchiu/ReSwapper
ReSwapper aims to reproduce the implementation of inswapper. This repository... |
|
Emerging |
| 15 |
pilot7747/sldl
Single-line inference of SOTA deep learning models |
|
Emerging |
| 16 |
Fried-Rice-Lab/FriedRiceLab
Official repository of the Fried Rice Lab, including code resources of the... |
|
Emerging |
| 17 |
zudi-lin/rcan-it
Revisiting RCAN: Improved Training for Image Super-Resolution |
|
Emerging |
| 18 |
cszn/SRMD
Learning a Single Convolutional Super-Resolution Network for Multiple... |
|
Emerging |
| 19 |
timmh/neural-supersampling
Unofficial re-implementation of a neural supersampling model for real-time rendering |
|
Emerging |
| 20 |
tuvovan/MIRNet-Keras
Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution... |
|
Emerging |
| 21 |
megvii-research/DCLS-SR
Official PyTorch implementation of the paper "Deep Constrained Least Squares... |
|
Emerging |
| 22 |
diegovalsesia/piunet
Permutation invariance and uncertainty in multitemporal image super-resolution |
|
Emerging |
| 23 |
The-Harsh-Vardhan/HNDSR
A hybrid Neural Operator-Diffusion model for continuous-scale satellite... |
|
Emerging |
| 24 |
isaaccorley/pytorch-enhance
Open-source Library of Image Super-Resolution Models, Datasets, and Metrics... |
|
Emerging |
| 25 |
george-gca/sr-pytorch-lightning
Super-Resolution models implemented in PyTorch Lightning |
|
Emerging |
| 26 |
amannm/super-resolution
client-side deep learning super resolution using TensorFlow.js |
|
Emerging |
| 27 |
ytZhang99/CF-Net
Official repository of "Deep Coupled Feedback Network for Joint Exposure... |
|
Experimental |
| 28 |
AmrShaaban99/super-resolution
This project shows Image Super Resolution using Deep Learning . Seven models... |
|
Experimental |
| 29 |
icolbert/upsampling
Algorithmic solutions to optimize inference for convolution-based image... |
|
Experimental |
| 30 |
HediFKIH/ThermoVisSR
ThermoVisSR: Multi-Scale Transformer Network for Super-Resolution of Visible... |
|
Experimental |
| 31 |
PsVenom/QR-code-enhancement-using-SRGANs
An attempt to ustilise Super Resolution Generative Adversarial Networks... |
|
Experimental |
| 32 |
saraivaufc/super-resolution-using-gans
Super-Resolution of Sentinel-2 Using Generative Adversarial Networks |
|
Experimental |
| 33 |
IMT-Project-LTS-SR/MRUNet-for-MODIS-super-resolution
This is the github repository for the article: Convolutional Neural Network... |
|
Experimental |
| 34 |
sbelharbi/sr-caco-2
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution |
|
Experimental |
| 35 |
renarchi/Re-SISR
A collection of custom Super-Resolution models and restoration experiments. |
|
Experimental |
| 36 |
ashleykleynhans/supir-docker
Docker image for SUPIR (Scaling Up to Excellence: Practicing Model Scaling... |
|
Experimental |
| 37 |
OlgaChernytska/Super-Resolution-with-FSRCNN
Implementation of the paper on Fast Super Resolution CNN |
|
Experimental |
| 38 |
ModelPiper/PiperSR
First super-resolution model designed for Apple Neural Engine. 2x upscale,... |
|
Experimental |
| 39 |
Aditii-12/cms-super-resolution
GAN-based super resolution of CMS calorimeter jet images | GSoC 2026 ML4SCI |
|
Experimental |
| 40 |
labcisne/CT-Super-Resolution
This project focuses on enhancing low-dosage computed tomography (CT) images... |
|
Experimental |
| 41 |
egronskaya/Super-Resolution-for-Satellite-Imagery
Use super-resolution models for upscaling low-resolution satellite images |
|
Experimental |
| 42 |
hellloxiaotian/ADSRNet
Heterogeneous dynamic convolutional network in image super-resolution (HDSRNet) |
|
Experimental |
| 43 |
um-dsrg/RUMpy
Open source image super-resolution toolbox containing various functionality... |
|
Experimental |
| 44 |
sorna-fast/super-resolution-cnn-cifar10
Transform 16×16 low-resolution images to 32×32 high-quality versions using... |
|
Experimental |
| 45 |
ashujha301/Deep-super-resolution
A fully custom Image Super-Resolution system built from scratch using... |
|
Experimental |
| 46 |
andrewdalpino/SuperCool
A fast single-image super-resolution (SISR) model capable of upscaling... |
|
Experimental |
| 47 |
yongsongH/Infrared_Image_SR_PSRGAN
Official PyTorch implementation of the paper Infrared Image Super-Resolution... |
|
Experimental |
| 48 |
zuzg/text-super-resolution
🔠Project tackling the problem of creating high-resolution images of text... |
|
Experimental |
| 49 |
Rokib-Hasan-Oli/CSE445_Sec6_Machine_Learning_Project
This project focuses on image super-resolution using machine learning. The... |
|
Experimental |
| 50 |
Aditya26189/klymo
A production-grade ensemble system combining Transformer (Swin2SR) and GAN... |
|
Experimental |
| 51 |
NicoCeresa/FSRCNN-2016
Implimentation of the 2016 Fast Super Resolution CNN Paper |
|
Experimental |
| 52 |
guillaumeboniface/super_resolution
Reproducing the Image Super-Resolution via Iterative Refinement paper. |
|
Experimental |
| 53 |
HeleenaRobert/super-resolution-showcase
🌃 Comparing AI super-resolution models with visual examples and runtime... |
|
Experimental |
| 54 |
o-messai/DDSRNet
DDSRNet (A Deep Model for Denoising and Super-Resolution) is a new two-stage... |
|
Experimental |
| 55 |
anthonylucky1909/ESRGANX
ESRGAN-Plus: Enhanced Super-Resolution with Custom Training |
|
Experimental |
| 56 |
ahmadsallakh/Images-Resolution-Enhancement-Using-CNN
This project aims to enhance the quality of low-resolution images by mainly... |
|
Experimental |
| 57 |
GinZhu/RDST
Official implementation of RDST. A residual dense swin transformer for... |
|
Experimental |
| 58 |
gauravshuklacpp/SpanSR-12
SpanSR-12: A Diverse Benchmark for Multi-Domain Image Super-Resolution |
|
Experimental |
| 59 |
akhundmuzzammil/SuperResolutionSatellite
SuperResolutionSatellite is a deep learning project that enhances the... |
|
Experimental |
| 60 |
Mohitkr95/image-super-resolution
The goal of this project is to upscale and improve the quality of low... |
|
Experimental |