single-image-super-resolution

There are 8 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"
singan gan official single-image harmonization animation single-image-animation single-image-generation image-edit arbitrery-sizes single-image-super-resolution super-resolution
Language:Python 3281
krasserm / super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
edsr keras single-image-super-resolution srgan super-resolution tensorflow tensorflow2 wdsr
Language:Python 1469
HasnainRaz / Fast-SRGAN
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
artificial-intelligence cnn fastsrgan gans generative-adversarial-network neural-network realtime-super-resolution residual-blocks resolution-image single-image-super-resolution sisr srgan super-resolution tensorboard tensorflow tf-keras tf2 upsample
Language:Python 635
cszn / IRCNN
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)
image-deblurring image-restoration image-denoising single-image-super-resolution image-inpainting color-demosaicking deep-model
Language:MATLAB 575
deepak112 / Keras-SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
generative-adversarial-networks image-super-resolution keras keras-tensorflow photo-realistic-super-resolution single-image-super-resolution srgan vgg-loss
Language:Python 273
cuiziteng / ECCV_AERIS
[ECCV 2022] Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
eccv2022 multitask-learning object-detection self-supervised-learning single-image-super-resolution super-resolution
Language:Python 46
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。
computer-vision deep-learning python pytorch single-image-super-resolution super-resolution tianchi video-super-resolution
Language:Python 41
Yukariin / SAN_pytorch
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
pytorch super-resolution single-image-super-resolution attention
Language:Python 23
uw-loci / demo_wsi_superres
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
whole-slide-imaging histopathology super-resolution whole-slide-image convolutional-neural-networks generative-adversarial-network deep-learning self-supervised-learning curriculum-learning single-image-super-resolution
Language:Python 20
davitpapikyan / Probabilistic-Downscaling-of-Climate-Variables
Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
downscaling diffusion-models weatherbench single-image-super-resolution super-resolution ddpm iterative-refinement t2m
Language:Python 17
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".
single-image-super-resolution generative-adversarial-network convolutional-neural-networks usisresnet
Language:Python 17
jangsoopark / IDN-TensorFlow
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
cvpr2018 deeplearning distillation idn information information-distillation-network network python single-image-super-resolution superresolution tensorflow
Language:Python 16
Ahmad-Zaki / Single_Image_Super_Resolution
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
deep-learning super-resolution gan cnn convolutional-neural-networks generative-adversarial-network single-image-super-resolution edsr srgan keras tensorflow div2k srresnet python data-loader keras-tensorflow srgan-tf2
Language:Python 13
pbehjatii / DiVANet
PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)
deblurring denoising efficiency image-deblurring image-denoising image-super-resolution lightweight-image-super-resolution low-level-vision single-image-super-resolution
Language:Python 13
zilongzheng / PatchGenCN
CVPR 2021 Oral Paper PatchGenCN
deep-internal-learning energy-based-model generative-model cvpr2021 image-edit official single-image single-image-generation single-image-super-resolution
Language:Python 13
pbehjatii / FENet-PyTorch
PyTorch implementation of Frequency-based Enhancement Network for Efficient Super-Resolution. (IEEE Access2022)
deblurring denoising efficiency image-deblurring image-denoising image-super-resolution lightweight-image-super-resolution single-image-super-resolution super-resolution
Language:Python 12
freebeing1 / Uniwin
PyTorch implementation of Uniwin("Image Super-resolution with Unified Window Attention".
image neighborhood-attention self-attention single-image-super-resolution super-resolution
Language:Python 9
amanshenoy / image-super-resolution
A simple convolutional neural network for single image super-resolution
pytorch super-resolution single-image-super-resolution convolutional-neural-networks
Language:Jupyter Notebook 8
Malav5372 / SupernovaSR
Explore Super Image Resolution through sophisticated degradation modeling. Explore this approach to enhance real image quality and elevate your image enhancement capabilities
deep-learning degradation-model image-enhancement image-processing noise-reduction python single-image-super-resolution super-resolution
Language:Python 8
dslisleedh / Download_df2k
DF2K dataset download script
datasets single-image-super-resolution
Language:Shell 7
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.
super-resolution deep-learning loss-functions quality-metrics single-image-super-resolution
Language:Jupyter Notebook 6
jangsoopark / VDSR-TensorFlow
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
tensorflow super-resolution superresolution deep-learning deeplearning convolutional-neural-networks cnn vdsr vdsr-algorithm cvpr cvpr2016 cvpr16 python machine-learning machine-learning-algorithms image-processing image-reconstruction image-enhancement computer-vision single-image-super-resolution
Language:Python 5
Bobholamovic / IQA-SR
Quality Guided Single Image Super-Resolution
single-image-super-resolution image-quality-assessment deep-neural-networks
Language:Python 4
polimi-ispl / sr-bvoc
Official repository of our works related to Super-Resolution of BVOC Emission Maps.
biogenic-emission biogenic-volatile-organic-compounds bvoc domain-adaptation emissions image-super-resolution isoprene multi-image-super-resolution single-image-super-resolution super-resolution
4
sahebi / basic-super-resolution
Test basic super resolution methods with different optimization methods
super-resolution single-image-super-resolution
Language:Jupyter Notebook 3
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
edsr espcn single-image-super-resolution super-resolution keras lapsrn srcnn srgan tensorflow wdsr
Language:Jupyter Notebook 2
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))
efficiency image-enhancement onnx onnx-models onnx-runtime onnx-torch onnxruntime single-image-super-resolution super-resolution
Language:Python 1
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.
meta-learning super-resolution model-agnostic-meta-learning single-image-super-resolution
Language:Jupyter Notebook 1
DynexMarketplace / QSISR_template
Quantum Single Image Super-Resolution Template
dynex free quantum-computing single-image-super-resolution
Language:Python 0
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.
super-resolution single-image-super-resolution convolutional-neural-networks generative-adversarial-network computer-vision deep-learning content-loss
Language:Python 0
Prajwal564 / SRGAN
Implementation of Single Image Super Resolution using SRGAN
gan machine-learning single-image-super-resolution srgan-pytorch

single-image-super-resolution

tamarott / SinGAN

krasserm / super-resolution

HasnainRaz / Fast-SRGAN

cszn / IRCNN

deepak112 / Keras-SRGAN

cuiziteng / ECCV_AERIS

izhx / TC-YoukuVSRE

Yukariin / SAN_pytorch

uw-loci / demo_wsi_superres

davitpapikyan / Probabilistic-Downscaling-of-Climate-Variables

kalpeshjp89 / USISResNet

jangsoopark / IDN-TensorFlow

Ahmad-Zaki / Single_Image_Super_Resolution

pbehjatii / DiVANet

zilongzheng / PatchGenCN

pbehjatii / FENet-PyTorch

freebeing1 / Uniwin

amanshenoy / image-super-resolution

Malav5372 / SupernovaSR

dslisleedh / Download_df2k

shshojaei / research-of-super-resolution

jangsoopark / VDSR-TensorFlow

Bobholamovic / IQA-SR

polimi-ispl / sr-bvoc

sahebi / basic-super-resolution

athiyadeviyani / super-resolution

pbehjatii / OverNet-to-ONNX

ruyanshou / comasure

DynexMarketplace / QSISR_template

EdoardoGruppi / AMLS_II_assignment20_21

Prajwal564 / SRGAN