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ESRGAN

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ESRGAN
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metadata
license: mit
language:
  - en
tags:
  - ESRGAN
  - Real-ESRGAN
  - Pytorch
  - Image-to-Image
  - Tensorflow_Lite

ESRGAN_Model

This repository contains the ESRGAN (Enhanced Super-Resolution Generative Adversarial Network) model for high-quality image super-resolution. ESRGAN improves low-resolution images by reconstructing finer details, making it suitable for applications in image enhancement, restoration, and detail recovery.

ESRGAN (Enhanced SRGAN) Using [:rocket: [Real-ESRGAN] Model.

Quick Test

Dependencies

  • Python 3
  • Pytorch >= 1.0 (CUDA version >= 7.5 if installing with CUDA.More Details)
  • Python packages: pip install numpy opencv-python

Test Models

  1. Clone this github repo.
git clone https://huggingface.co/spedrox-sac/ESRGAN
cd ESRGAN
  1. Place your own low-resolution images in ./LR folder. (There are two sample images - baboon and comic).
  2. I've downloaded and fine tuned the model. But you can download pretrained models from Google Drive or Baidu Drive. Place the models in ./models. We provide two models with high perceptual quality and high PSNR performance (see model list).
  3. Run test. We provide ESRGAN model and RRDB_PSNR model and you can config in the test.py.
 python test.py