single-image-super-resolution

There are 32 repositories under single-image-super-resolution topic.

  • tamarott/SinGAN

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

    Language:Python3.3k64159607

  • krasserm/super-resolution

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

    Language:Python1.5k26103355

  • HasnainRaz/Fast-SRGAN

    A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

    Language:Python6471833115

  • cszn/IRCNN

    Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

    Language:MATLAB5863330173

  • deepak112/Keras-SRGAN

    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

    Language:Python276843148

  • cuiziteng/ECCV_AERIS

    [ECCV 2022] Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection

    Language:Python482233

  • izhx/TC-YoukuVSRE

    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。

    Language:Python41207

  • Yukariin/SAN_pytorch

    Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

    Language:Python23152

  • uw-loci/demo_wsi_superres

    WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

    Language:Python20515

  • davitpapikyan/Probabilistic-Downscaling-of-Climate-Variables

    Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models

    Language:Python19104

  • Ahmad-Zaki/Single_Image_Super_Resolution

    A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN

    Language:Python16126

  • jangsoopark/IDN-TensorFlow

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

    Language:Python16203

  • kalpeshjp89/USISResNet

    This repository includes code of training/testing of our work published in NTIRE-2020 workshop titled "Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network".

    Language:Python16197

  • pbehjatii/FENet-PyTorch

    PyTorch implementation of Frequency-based Enhancement Network for Efficient Super-Resolution. (IEEE Access2022)

    Language:Python14252

  • pbehjatii/DiVANet

    PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)

    Language:Python13262

  • zilongzheng/PatchGenCN

    CVPR 2021 Oral Paper PatchGenCN

    Language:Python13202

  • freebeing1/Uniwin

    PyTorch implementation of Uniwin("Image Super-resolution with Unified Window Attention".

    Language:Python1021

  • amanshenoy/image-super-resolution

    A simple convolutional neural network for single image super-resolution

    Language:Jupyter Notebook8409

  • dslisleedh/Download_df2k

    DF2K dataset download script

    Language:Shell8101

  • Malav5372/SupernovaSR

    Explore Super Image Resolution through sophisticated degradation modeling. Explore this approach to enhance real image quality and elevate your image enhancement capabilities

    Language:Python8310

  • shshojaei/research-of-super-resolution

    This repository is about my experiences and experiments on the single image super resolution task, which is about retrievaling a high resolution image from a low resolution image using deep learning.

    Language:Jupyter Notebook6200

  • jangsoopark/VDSR-TensorFlow

    TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)

    Language:Python5205

  • Bobholamovic/IQA-SR

    Quality Guided Single Image Super-Resolution

    Language:Python4103

  • polimi-ispl/sr-bvoc

    Official repository of our works related to Super-Resolution of BVOC Emission Maps.

    4300

  • sahebi/basic-super-resolution

    Test basic super resolution methods with different optimization methods

    Language:Jupyter Notebook3102

  • athiyadeviyani/super-resolution

    Implementation of EDSR, ESPCN, LAPSRN, SRCNN, SRGAN and WDSR for single image super-resolution (SISR) based on Tensorflow 2.x for CMU's 10-707 Advanced Deep Learning Final Project

    Language:Jupyter Notebook2101

  • pbehjatii/OverNet-to-ONNX

    PyTorch super-resolution model (OverNet) with RGB support and ONNX exporter (OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network (WACV 2021))

    Language:Python1100

  • ruyanshou/comasure

    This repository stores scripts used to run COMASure and its extensions. The models are studied as part of the requirements for the MSc Data Science and Machine Learning dissertation at UCL.

    Language:Jupyter Notebook1100

  • DynexMarketplace/QSISR_template

    Quantum Single Image Super-Resolution Template. This algorithm demonstrates formulating quantum SISR as a sparse coding optimization problem, which is solved using the Dynex Neuromorphic Quantum Computing Platform via the Dynex SDK. This AQC-based algorithm is demonstrated to achieve improved SISR accuracy.

    Language:Python00

  • EdoardoGruppi/AMLS_II_assignment20_21

    This project is aimed to develop powerful and lightweight networks to address the two tasks presented in the NTIRE 2017 SuperResolution Challenge. The two deep learning models proposed, i.e. a CNN and a GAN, achieved satisfactory results demonstrating an important ability in introducing high-frequency information to the original low resolution images.

    Language:Python0100

  • sephiroth7712/SISR-GAN-Variants

    Comparative study of lightweight generator models (ESPCN, FSRCNN, IDN) in the SRGAN framework for Single Image Super-Resolution (SISR). Explore the trade-offs between performance and efficiency in GAN-based SISR.

    Language:Python0200

  • Prajwal564/SRGAN

    Implementation of Single Image Super Resolution using SRGAN

    10