---
license: agpl-3.0
datasets:
- eugenesiow/Div2k
pipeline_tag: image-to-image
library_name: pytorch
tags:
- generative-ai
- deep-cnn
- super-resolution
---

# SRGAN Model for Super-Resolution

This repository contains a Super-Resolution Generative Adversarial Network (SRGAN) model trained on the DIV2K dataset. The model is designed to enhance the resolution of low-resolution images using deep convolutional neural networks.

## Experiment Implementation

The results as follows:

- **PSNR**: 17.54 dB
- **SSIM**: 0.6241