Top 168 super-resolution open source projects

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

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

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

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

SRZoo: An integrated repository for super-resolution using deep learning

Pytorch implementation for SRDenseNet (ICCV2017)

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

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

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

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

Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"

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

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

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

A video analysis tool built completely in python.

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

AI Super - Resolution

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

Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow

A generic framework which implements some famouts super-resolution models

天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码，EDVR、WDSR、ESRGAN三个模型。

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。

Official repository of FISR (AAAI 2020).

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

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

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

Efficient & Generic Video Super-Resolution

A collection of tools for painting super-resolution images

ImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.

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

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

Multi-frame super-resolution via sub-pixel.

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

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Super Resolution for Anime image, lightweight implementation

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

SRDenseNet-pytorch（ICCV_2017）

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to …

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Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

Pytorch framework can easily implement srcnn algorithm with excellent performance