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Top 168 super-resolution open source projects

Rcan Tensorflow
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
Hyperspectral Image Spatial Super Resolution Via 3d Full Convolutional Neural Network
Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network
Tensorflow Srgan
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Super Resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Super Resolution cnn
Implementation of 'Image Super-Resolution using Deep Convolutional Network'
Dncnn
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Scn
Scale-wise Convolution for Image Restoration
Pytorch Implemented Deep Sr Itm
A Pytorch implemented Deep SR-ITM (ICCV2019)
Neuralsuperresolution
Real-time video quality improvement for applications such as video-chat using Perceptual Losses
Srgan Tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Super Resolution.benckmark
Benchmark and resources for single super-resolution algorithms
Dpsr
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Kair
Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN
Srgan
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Dcscn Super Resolution
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.
Wdsr ntire2018
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
Zooming Slow Mo Cvpr 2020
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Ntire2017
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
Srflow
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Usrnet
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
Srcnn Tensorflow
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
Raisr
A Python implementation of RAISR
Liif
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
Dbpn Pytorch
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
Waifu2x
Image Super-Resolution for Anime-Style Art
Fast Srgan
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Rdn
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
Waifu2x Extension Gui
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.
Pixel Recursive Super Resolution
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Realsr
Real-World Super-Resolution via Kernel Estimation and Noise Injection
Srmd
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
Drn
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Edsr Tensorflow
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
Sewar
All image quality metrics you need in one package.
Spsr
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)
Tdan Vsr Cvpr 2020
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020
Caffe Vdsr
A Caffe-based implementation of very deep convolution network for image super-resolution
Singan
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Mirnet
Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.
GSOC
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
traiNNer
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
RCAN-tf
TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
RAMS
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
srVAE
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Real-ESRGAN-colab
A Real-ESRGAN model trained on a custom dataset
TMNet
The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".
srgan
Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
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