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The Top 95 Super Resolution Open Source Projects

CategoriesΒ >Β Machine LearningΒ >Β Super Resolution
Waifu2x ⭐19,833
Image Super-Resolution for Anime-Style Art
Anime4k ⭐12,402
A High-Quality Real Time Upscaler for Anime Video
Singan ⭐2,660
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Waifu2x Extension Gui ⭐2,519
Image, GIF and Video enlarger/upscaler(super-resolution) achieved with Waifu2x, SRMD, RealSR, Anime4K and ACNet.
Srgan ⭐2,407
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Image Super Resolution ⭐2,273
πŸ”Ž Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Video2x ⭐1,993
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.
Mmediting ⭐1,703
OpenMMLab Image and Video Editing Toolbox
Awesome Gan For Medical Imaging ⭐1,498
Awesome GAN for Medical Imaging
Basicsr ⭐1,446
Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
Videosuperresolution ⭐1,010
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Dncnn ⭐858
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Super Resolution ⭐837
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Training_extensions ⭐804
Trainable models and NN optimization tools
Super Resolution.benckmark ⭐741
Benchmark and resources for single super-resolution algorithms
Srgan Tensorflow ⭐731
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Dpsr ⭐707
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Dcscn Super Resolution ⭐592
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Srgan ⭐589
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Kair ⭐557
Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN
Wdsr_ntire2018 ⭐550
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
Ntire2017 ⭐540
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
Srcnn Tensorflow ⭐473
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
Raisr ⭐461
A Python implementation of RAISR
Zooming Slow Mo Cvpr 2020 ⭐447
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Dbpn Pytorch ⭐432
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
Usrnet ⭐407
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
Srflow ⭐401
Official SRFlow Code
Rdn ⭐383
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
Fast Srgan ⭐378
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Pixel Recursive Super Resolution ⭐371
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Pinto_model_zoo ⭐345
A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin]
Srmd ⭐317
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
Edsr Tensorflow ⭐314
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
Realsr ⭐300
Real-World Super-Resolution via Kernel Estimation and Noise Injection
Toflow ⭐290
TOFlow: Video Enhancement with Task-Oriented Flow
Pytorch Vdsr ⭐286
VDSR (CVPR2016) pytorch implementation
Drn ⭐278
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Pytorch Srgan ⭐277
A modern PyTorch implementation of SRGAN
Caffe Vdsr ⭐269
A Caffe-based implementation of very deep convolution network for image super-resolution
Sewar ⭐266
All image quality metrics you need in one package.
Spsr ⭐250
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)
Tdan Vsr Cvpr 2020 ⭐216
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020
Master Thesis Bayesiancnn ⭐215
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Msrn Pytorch ⭐203
This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
Zoom Learn Zoom ⭐202
computational zoom from raw sensor data
Ranksrgan ⭐202
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
Pytorch Lapsrn ⭐198
Pytorch implementation for LapSRN (CVPR2017)
Highres Net ⭐195
Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
Pytorch Zssr ⭐175
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
Waveletsrnet ⭐174
A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"
Gpufit ⭐164
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
Super_resolution_with_cnns_and_gans ⭐163
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
Video Super Resolution ⭐160
Video super resolution implemented in Pytorch
Face And Image Super Resolution ⭐160
Frvsr ⭐150
Frame-Recurrent Video Super-Resolution (official repository)
Mzsr ⭐150
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
Deep Iterative Collaboration ⭐148
Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
Tenet ⭐146
Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution
Adafm ⭐145
CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
Waifu2x Extension ⭐145
Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]
Waifu2x ⭐143
PyTorch on Super Resolution
Enhancenet Code ⭐141
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)
Psfrgan ⭐140
PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"
Rdn Tensorflow ⭐131
A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
3pu ⭐121
Patch-base progressive 3D Point Set Upsampling
Keras Image Super Resolution ⭐121
EDSR, RCAN, SRGAN, SRFEAT, ESRGAN
Paddlegan ⭐118
PaddlePaddle GAN library and applications.
Deeply Recursive Cnn Tf ⭐113
Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
A Pytorch Tutorial To Super Resolution ⭐106
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Edafa ⭐104
Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.
Supper Resolution ⭐103
Super-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.
Idn Caffe ⭐103
Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Iseebetter ⭐101
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Natsr ⭐100
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
Drln ⭐100
Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
Vsr Duf Reimplement ⭐90
It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.
Pan ⭐89
[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.
3d Gan Superresolution ⭐88
3D super-resolution using Generative Adversarial Networks
Super Resolution Videos ⭐87
Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
Latest Development Of Isr Vsr ⭐86
Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.
Seranet ⭐79
Super Resolution of picture images using deep learning
Cfsrcnn ⭐78
Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
Torch Srgan ⭐76
torch implementation of srgan
Awesome Computer Vision ⭐76
Awesome Resources for Advanced Computer Vision Topics
Pytoflow ⭐75
The py version of toflow β†’ https://github.com/anchen1011/toflow
Scn_matlab ⭐67
Matlab reimplementation of SCNSR
Tensorflow Espcn ⭐48
TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network
Esrgan Tf2 ⭐44
ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Hyperspectral Image Spatial Super Resolution Via 3d Full Convolutional Neural Network ⭐40
Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network
Rcan Tensorflow ⭐39
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
Jsi Gan ⭐38
Official repository of JSI-GAN (Accepted at AAAI 2020).
Tensorflow Srgan ⭐31
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Super Resolution_cnn ⭐27
Implementation of 'Image Super-Resolution using Deep Convolutional Network'
Neuralsuperresolution ⭐18
Real-time video quality improvement for applications such as video-chat using Perceptual Losses
1-95 of 95 projects