GitHub topics: single-image-super-resolution
enter-i-username/EigenSR
[AAAI 2025] Official implementation of the paper "EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution".
Language: Python - Size: 1.28 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 9 - Forks: 0

HasnainRaz/Fast-SRGAN
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Language: Python - Size: 4.45 MB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 682 - Forks: 118

tamarott/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Language: Python - Size: 92.7 MB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 3,331 - Forks: 612

cszn/IRCNN
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)
Language: MATLAB - Size: 204 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 607 - Forks: 171

krasserm/super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Language: Python - Size: 47 MB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 1,509 - Forks: 352

polimi-ispl/sr-bvoc
Official repository of our works related to Super-Resolution of BVOC Emission Maps.
Size: 92.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 0

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: Python - Size: 7.6 MB - Last synced at: 15 days ago - Pushed at: almost 6 years ago - Stars: 43 - Forks: 7

Kieuker/srcnn-pytorch
A PyTorch implementation of SRCNN
Language: Python - Size: 12.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

cuiziteng/ECCV_AERIS
📷 [ECCV 2022] Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
Language: Python - Size: 19.1 MB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 54 - Forks: 5

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 Notebook - Size: 169 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

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: Python - Size: 50.8 KB - Last synced at: 15 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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: Python - Size: 42.7 MB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 16 - Forks: 7

pbehjatii/FENet-PyTorch
PyTorch implementation of Frequency-based Enhancement Network for Efficient Super-Resolution. (IEEE Access2022)
Language: Python - Size: 26.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 2

freebeing1/Uniwin
PyTorch implementation of Uniwin("Image Super-resolution with Unified Window Attention".
Language: Python - Size: 35.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0

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: Python - Size: 127 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

Ahmad-Zaki/Single_Image_Super_Resolution
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
Language: Python - Size: 53.2 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 6

davitpapikyan/Probabilistic-Downscaling-of-Climate-Variables
Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
Language: Python - Size: 4.44 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 16 - Forks: 3

DynexMarketplace/QSISR_template
Quantum Single Image Super-Resolution Template
Language: Python - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

pbehjatii/DiVANet
PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)
Language: Python - Size: 32 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 1

sahebi/basic-super-resolution
Test basic super resolution methods with different optimization methods
Language: Jupyter Notebook - Size: 400 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

deepak112/Keras-SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Language: Python - Size: 26.4 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 268 - Forks: 149

Yukariin/SAN_pytorch
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
Language: Python - Size: 28.3 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 2

dslisleedh/Download_df2k
DF2K dataset download script
Language: Shell - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

athiyadeviyani/super-resolution Fork of krasserm/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 Notebook - Size: 146 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

jangsoopark/IDN-TensorFlow
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Language: Python - Size: 29.8 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 14 - Forks: 2

uw-loci/demo_wsi_superres
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
Language: Python - Size: 9.61 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 4

jangsoopark/VDSR-TensorFlow
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
Language: Python - Size: 7.99 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 5

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: Python - Size: 43.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Bobholamovic/IQA-SR 📦
Quality Guided Single Image Super-Resolution
Language: Python - Size: 203 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 3

Prajwal564/SRGAN
Implementation of Single Image Super Resolution using SRGAN
Size: 105 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

amanshenoy/image-super-resolution
A simple convolutional neural network for single image super-resolution
Language: Jupyter Notebook - Size: 85.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 6

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: Python - Size: 136 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
