single image super resolution
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Updated
Dec 8, 2022 - Jupyter Notebook
single image super resolution
Research on AI Technology for the Efficient Real-Time Object Detection using super-resolution.
Deep.Imager - A Python based app powered by Streamlit! Upscales images using mathematical convolutions and Deep Learning without change/loss in input sharpness
Image Classification
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.
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
Martialis - Optical Character Recognition Discord Bot running on Google's Tesseract OCR Engine
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
A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models
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.
Tensorflow Implementation of enhanced deep super-resolution network (EDSR) and Super Resolution Generative Adversarial Networks(SRGAN) Paper
EDSR with depthwise separable convolution
Can we perform face hallucination using limited set of unaligned pairs?
ERNet: Segmentation of Endoplasmic Reticulum microscopy images using modified CNN-based image restoration models.
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
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