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Some self-explaration works on transformer: audio, images, text, ...
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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