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- SwinIR
On the recordRead 12 Oct 202618 facts
SwinIR
SwinIR · Computer Vision Lab, ETH Zurich · founded 2021
Plans and prices
SwinIR
Free
Apache 2.0 licensed image restoration implementation · pretrained models and testing code
Read 12 Oct 2026 · github.com
On the record
- Batch processing
- Yesgithub.com · read 20 Sep 2026
- Compute needs
- The README notes that real-world super-resolution testing may require tiling when memory runs out.github.com · read 12 Oct 2026
- Denoising
- It supports grayscale and color image denoising.github.com · read 12 Oct 2026
- Intended use
- The project focuses on low-level vision tasks that restore high-quality images from downscaled, noisy, or compressed images.github.com · read 12 Oct 2026
- JPEG repair
- It includes grayscale and color JPEG compression artifact reduction.github.com · read 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.github.com · read 12 Oct 2026
- Maximum scale
- 8xgithub.com · read 20 Sep 2026
- Mobile demo
- A PlayTorch demo showcases running the real-world super-resolution model in a React Native mobile application.github.com · read 12 Oct 2026
- Model design
- Its architecture combines shallow feature extraction, residual Swin Transformer blocks for deep feature extraction, and high-quality image reconstruction.github.com · read 12 Oct 2026
- Model sizes
- The repository provides middle, large, and small model variants for different tasks.github.com · read 12 Oct 2026
- Pretrained models
- Testing commands download pretrained models automatically into the model_zoo/swinir directory.github.com · read 12 Oct 2026
- Purpose
- SwinIR is an image restoration model based on the Swin Transformer.github.com · read 12 Oct 2026
- Super-resolution
- It supports classical, lightweight, and real-world image super-resolution.github.com · read 12 Oct 2026
- Training
- The repository directs users to KAIR for training code.github.com · read 12 Oct 2026
- Upscaling method
- aigithub.com · read 20 Sep 2026
- Web demo
- The project links to a Gradio web demo and an online Colab demo for real-world image super-resolution.github.com · read 12 Oct 2026
