167 Open source projects that are alternatives of or similar to Video Super Resolution

Awesome GAN for Medical Imaging

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

TOFlow: Video Enhancement with Task-Oriented Flow

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

A modern PyTorch implementation of SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]

SwinIR: Image Restoration Using Swin Transformer (official repository)

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Super-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

PyTorch on Super Resolution

Bicubic interpolation for images (Python)

Scale-wise Convolution for Image Restoration

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

Benchmark and resources for single super-resolution algorithms

Pytorch implementation for SRDenseNet (ICCV2017)

3D super-resolution using Generative Adversarial Networks

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

Frame-Recurrent Video Super-Resolution (official repository)

A survey of recent application of deep learning on super-resolution tasks

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.

Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Plug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

Patch-base progressive 3D Point Set Upsampling

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

A Python implementation of RAISR