https://github.com/gotneb/real-esrgan-api
API using xinntao's NCNN implementation of Real-ESRGAN.
https://github.com/gotneb/real-esrgan-api
Last synced: 4 months ago
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API using xinntao's NCNN implementation of Real-ESRGAN.
- Host: GitHub
- URL: https://github.com/gotneb/real-esrgan-api
- Owner: gotneb
- License: mit
- Created: 2024-12-19T01:16:05.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-19T15:14:44.000Z (6 months ago)
- Last Synced: 2024-12-27T02:16:40.139Z (6 months ago)
- Language: Python
- Homepage:
- Size: 41.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
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Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data.---
### š Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
> [[Paper](https://arxiv.org/abs/2107.10833)] ā [[YouTube Video](https://www.youtube.com/watch?v=fxHWoDSSvSc)] ā [[Bē«č®²č§£](https://www.bilibili.com/video/BV1H34y1m7sS/)] ā [[Poster](https://xinntao.github.io/projects/RealESRGAN_src/RealESRGAN_poster.pdf)] ā [[PPT slides](https://docs.google.com/presentation/d/1QtW6Iy8rm8rGLsJ0Ldti6kP-7Qyzy6XL/edit?usp=sharing&ouid=109799856763657548160&rtpof=true&sd=true)]
> [Xintao Wang](https://xinntao.github.io/), Liangbin Xie, [Chao Dong](https://scholar.google.com.hk/citations?user=OSDCB0UAAAAJ), [Ying Shan](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en)
> [Tencent ARC Lab](https://arc.tencent.com/en/ai-demos/imgRestore); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
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---
## ā” Installation
1. Clone repo```bash
git clone https://github.com/xinntao/Real-ESRGAN.git
cd Real-ESRGAN
```
1. Install dependent packages
```bash
# Create an env
python -m venv .venv
source .venv/bin/activate# Install packages
python -m pip install --upgrade pip
pip install -r requirements.txt
```## š¤ Acknowledgement
Thanks to [xinntao](https://github.com/xinntao) for providing this amazing tool for free.