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license: apache-2.0
tags:
- image-super-resolution
- scene-text
- text-image-guided-super-resolution
- cvpr-2026
---
# TiGeSR checkpoints
Official checkpoints for **TiGeSR / TIGER**: *Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance* (CVPR 2026).
- Paper: [CVPR Open Access](https://openaccess.thecvf.com/content/CVPR2026/html/Luo_Restore_Text_First_Enhance_Image_Later_Two-Stage_Scene_Text_Image_CVPR_2026_paper.html)
- Code: [OpenVeraTeam/TiGeSR](https://github.com/OpenVeraTeam/TiGeSR)
- Dataset: [UZ-ST](https://huggingface.co/datasets/mxluocv/UZ-ST)
## Checkpoint layout
```text
uzst/
├── stage1/
│ ├── model.pth
│ └── encoder.pth
└── stage2/
└── model.pkl
realce/
├── stage1/
│ ├── model.pth
│ └── encoder.pth
└── stage2/
└── model.pkl
```
`stage1` contains the glyph restoration model and text encoder. `stage2` contains the image-enhancement ControlNet checkpoint. Use the two checkpoints from the same dataset folder together.
## Download
```bash
hf download mxluocv/TiGeSR --local-dir weights
```
For inference commands and data preparation, see the code repository README.
## License
The code is released under Apache-2.0. Please consult the code repository and the respective base-model licenses for use of the checkpoints.
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