There are 0 repository under edsr topic.
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.
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
Super Resolution datasets and models in Pytorch
A generic framework which implements some famouts super-resolution models
PyTorch implementation of Deep Convolution Networks based on EDSR for Compression(Jpeg) Artifacts Reduction
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
Super-Resolution models implemented in PyTorch Lightning
ERNet: Segmentation of Endoplasmic Reticulum microscopy images using modified CNN-based image restoration models.
Quickly process image super-resolution reconstruction at any scale ratio
Can we perform face hallucination using limited set of unaligned pairs?
Tensorflow Implementation of enhanced deep super-resolution network (EDSR) and Super Resolution Generative Adversarial Networks(SRGAN) Paper
EDSR with depthwise separable convolution
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.
A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models
PyTorch implementation of SRCNN and EDSR neural networks for Super Resolution Single Frame tasks
This repository is an implementation of EDSR model implemented in PyTorch
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
Image Classification
Deep.Imager - A Python based app powered by Streamlit! Upscales images using mathematical convolutions and Deep Learning without change/loss in input sharpness
Apply multiple satellite image super-resolution by EDSR
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.
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.
Research on AI Technology for the Efficient Real-Time Object Detection using super-resolution.
single image super resolution