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

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

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

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

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.

Scale-wise Convolution for Image Restoration

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

The py version of toflow → https://github.com/anchen1011/toflow

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Awesome GAN for Medical Imaging

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

Benchmark and resources for single super-resolution algorithms

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

Super Resolution of picture images using deep learning

Bicubic interpolation for images (Python)

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

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

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

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

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.

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

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

Pytorch implementation for SRDenseNet (ICCV2017)

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

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

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

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

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

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

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

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

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

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

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

A generic framework which implements some famouts super-resolution models

Image Super-Resolution for Anime-Style Art

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

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

Super-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.

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

Neighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)

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

A collection of tools for painting super-resolution images

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

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

3D super-resolution using Generative Adversarial Networks

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

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

Patch-base progressive 3D Point Set Upsampling

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

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.

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

VDSR (CVPR2016) pytorch implementation