SwinIR
Image restoration using Swin Transformer for super-resolution and denoising.
About
SwinIR applies the Swin Transformer with shifted-window attention to image restoration tasks including super-resolution, denoising, and JPEG artifact removal. It reaches strong results across standard benchmarks and ships pretrained models and a web demo, with related VRT and RVRT projects extending the approach to video. Developed at the Computer Vision Lab, ETH Zurich. Released under the Apache 2.0 license.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- AI Image/Video Editing
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Minimum VRAM
- 4 GB
- Added
- Apr 3, 2026
Related Tools
AI image generation app for Apple devices with on-device processing.
Face restoration model by Tencent ARC for enhancing old or low-quality face photos.
AI-powered image inpainting tool for removing objects and defects from photos.
Robust face restoration using codebook lookup transformer.
Face swapping and enhancement platform for images and video with GUI and headless CLI modes.
Feature-rich web UI for Stable Diffusion with extensive extension ecosystem.