Image Super-Resolution Using ESRGAN
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Updated
Aug 9, 2023 - Jupyter Notebook
Image Super-Resolution Using ESRGAN
Medal of Honor Allied Assault automated textures upscaling based on ESRGAN
Readme file is inside the project folder itself. This repository contains SRGAN and ESRGAN with their model cards and training files. This was a final project of the course EE541 from USC.
this simple image upscaling Django website uses esrgan algorithm to enhance and increase the resolution of images
This is the repository for my final project to predict batik textile's origin by its extracted color coordinat using Neural Networks Model
When photographing a light source with a smartphone camera, light smudging often occurs. Our model contributes to improving the image quality degraded by the spread of light around the light source.
Repository for (Un)Clear SoC Project, done in the Summer of 2021.
AI Model to increase image resolution. Fork from https://huggingface.co/ai-forever/Real-ESRGAN
In a nutshell, the aim of this project is to improve the resolution of your images using ML based image processing techniques
Improving Deep Learning accuracy using Generative Adversarial Networks (GANs). Implemented in PyTorch
This repository leverages Generative Adversarial Networks (GANs) to enhance image resolution for various applications, using the Super-Resolution GAN (SRGAN) architecture. The project includes a Jupyter Notebook for model training and a detailed research paper documenting the methodology and results.
Pytorch Implementation of various experiments and proposed improvements to the state-of-the-art image super resolution model ESRGAN.
🖼️ Machine Learning Java 2D BufferedImageOp
Scalable Super Resolution in pure rust
Implementation of the paper "Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data." 🖼️
Both image and video capable ESRGAN model
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