Topic: "edsr"
XPixelGroup/BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Language: Python - Size: 3.83 MB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 7,495 - Forks: 1,290
rupeshs/fastsdcpu
Fast stable diffusion on CPU
Language: Python - Size: 18.7 MB - Last synced at: 4 days ago - Pushed at: 15 days ago - Stars: 1,701 - Forks: 148
LoSealL/VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Language: Python - Size: 9.04 MB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 1,657 - Forks: 299
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: 9 days ago - Pushed at: about 3 years ago - Stars: 1,512 - Forks: 353
limbee/NTIRE2017
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
Language: Lua - Size: 15.5 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 661 - Forks: 147
Saafke/EDSR_Tensorflow
TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
Language: Python - Size: 159 MB - Last synced at: 23 days ago - Pushed at: about 2 years ago - Stars: 261 - Forks: 79
Coloquinte/torchSR
Super Resolution datasets and models in Pytorch
Language: Python - Size: 445 KB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 202 - Forks: 19
NJU-Jet/SR_Framework
A generic framework which implements some famouts super-resolution models
Language: Python - Size: 5.57 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 59 - Forks: 15
developer0hye/EDAR
PyTorch implementation of Deep Convolution Networks based on EDSR for Compression(Jpeg) Artifacts Reduction
Language: Python - Size: 37.1 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 35 - Forks: 6
george-gca/sr-pytorch-lightning
Super-Resolution models implemented in PyTorch Lightning
Language: Python - Size: 86.9 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 5
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: over 3 years ago - Stars: 12 - Forks: 6
charlesnchr/ERNet
ERNet: Segmentation of Endoplasmic Reticulum microscopy images using modified CNN-based image restoration models.
Language: Jupyter Notebook - Size: 128 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3
IMvision12/Image-Super-Resolution
Tensorflow Implementation of enhanced deep super-resolution network (EDSR) and Super Resolution Generative Adversarial Networks(SRGAN) Paper
Language: Jupyter Notebook - Size: 170 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 2
Mulns/SuperSR-deprecated-
An implementation of data-pipeline and models of SR (super-resolution based on CNN) research.
Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 1
ryujaehun/EDSR-Mobile Fork of sanghyun-son/EDSR-PyTorch
EDSR with depthwise separable convolution
Language: Python - Size: 60.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 0
nprithviraj24/face-hallucination
Can we perform face hallucination using limited set of unaligned pairs?
Language: Python - Size: 74.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
Dadangdut33/Easy-Upscale
A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models
Language: Python - Size: 97.6 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
aryanjain28/Super-Resolution
Super Resolution using EDSR. Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR) model trained to convert a Low-Resolution image to a Super-Resolution image.
Language: Python - Size: 24.8 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0
TheStarkor/EDSR-tensorflow2
EDSR implementation in tensorflow 2
Language: Python - Size: 65.3 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 2
RakeshRaj97/EDSR-Super-Resolution
This repository is an implementation of EDSR model implemented in PyTorch
Language: Python - Size: 10.7 MB - Last synced at: 10 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1
FilippoVajana/pytorch-SuperResolution
PyTorch implementation of SRCNN and EDSR neural networks for Super Resolution Single Frame tasks
Language: Python - Size: 5.59 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0
aura0003/Martialis
Martialis - Optical Character Recognition Discord Bot running on Google's Tesseract OCR Engine
Language: Python - Size: 29.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - 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: almost 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
mucithasankaan/EDSR-image-super-resolution
This project is about the fundamentals of super-resolution artificial intelligence, specifically centered on the Enhanced Deep Super-Resolution (EDSR) technique. EDSR is used to improve image quality and resolution. The project includes a practical example demonstrating how a basic EDSR model works in enhancing images.
Language: Python - Size: 817 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
CodeStrate/ImageUpscaler
Deep.Imager - A Python based app powered by Streamlit! Upscales images using mathematical convolutions and Deep Learning without change/loss in input sharpness
Language: Python - Size: 101 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
noNScop/Super-Resolution
This repository contains implementations, training routines, and evaluation scripts for various Single Image Super-Resolution (SISR) models.
Language: Jupyter Notebook - Size: 531 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
pooja-premnath/ImageSuperResolution_Urban100
Language: Jupyter Notebook - Size: 187 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ohjunee/SRDet
Research on AI Technology for the Efficient Real-Time Object Detection using super-resolution.
Language: Python - Size: 90.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
yueying-teng/super-resolution
single image super resolution
Language: Jupyter Notebook - Size: 143 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
NahushKulkarni/ImageEnhancer
This is an Image Enhancement project which uses EDSR, WDSR, and SRGAN methods to increase the resolution of an image while also improving the details significantly.
Language: Python - Size: 102 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
