SwinIR
The facts below are what the maker publishes about SwinIR, checked and dated. Our editors have not written about it yet.
Plans and prices
From SwinIR's own pricing page, checked 12 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| SwinIR | Free | Apache 2.0 licensed image restoration implementation · pretrained models and testing code |
The facts
Each one read from SwinIR's own pages, with the date it was checked.
What it does
- Batch processing
- Yeschecked 20 Sep 2026
- Compute needs
- The README notes that real-world super-resolution testing may require tiling when memory runs out.checked 12 Oct 2026
- Denoising
- It supports grayscale and color image denoising.checked 12 Oct 2026
- Intended use
- The project focuses on low-level vision tasks that restore high-quality images from downscaled, noisy, or compressed images.checked 12 Oct 2026
- JPEG repair
- It includes grayscale and color JPEG compression artifact reduction.checked 12 Oct 2026
- License
- The project is released under Apache 2.0 and asks users to follow the licenses of Swin Transformer and KAIR as well.checked 12 Oct 2026
- Maximum scale
- 8xchecked 20 Sep 2026
- Mobile demo
- A PlayTorch demo showcases running the real-world super-resolution model in a React Native mobile application.checked 12 Oct 2026
- Model design
- Its architecture combines shallow feature extraction, residual Swin Transformer blocks for deep feature extraction, and high-quality image reconstruction.checked 12 Oct 2026
- Model sizes
- The repository provides middle, large, and small model variants for different tasks.checked 12 Oct 2026
- Pretrained models
- Testing commands download pretrained models automatically into the model_zoo/swinir directory.checked 12 Oct 2026
- Purpose
- SwinIR is an image restoration model based on the Swin Transformer.checked 12 Oct 2026
- Super-resolution
- It supports classical, lightweight, and real-world image super-resolution.checked 12 Oct 2026
- Training
- The repository directs users to KAIR for training code.checked 12 Oct 2026
- Upscaling method
- aichecked 20 Sep 2026
- Web demo
- The project links to a Gradio web demo and an online Colab demo for real-world image super-resolution.checked 12 Oct 2026
The company
- Founded
- 2021checked 28 Sep 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
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