SIR-SRGAN-RESNEXT

Super-Resolution using SIR-SRGAN with RESNEXT

This repository contains the implementation of the SIR-SRGAN-RESNEXT model, a super-resolution generative adversarial network with a RESNEXT backbone. The model is inspired by the work on SIR-SRGAN and was presented at the KES 2024 conference.

Table of Contents

• Introduction
• Prerequisites
• Installation
• Usage
• Evaluation
• Results
• References

Introduction

Super-resolution is a task involving increasing the resolution of an image, typically using neural networks. SIR-SRGAN-RESNEXT is a super-resolution model that combines the SIR-SRGAN method with a RESNEXT backbone to achieve improved results.

Prerequisites

Make sure to have the following installed before proceeding:

• Python (>=3.8)
• PyTorch (>=1.8.0)
• Other dependencies (see requirements.txt)

Installation

1. Clone this repository:

   git clone https://github.com/your-username/SIR-SRGAN-RESNEXT.git
   cd SIR-SRGAN-RESNEXT