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docs: add TiGeSR model card

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  license: apache-2.0
 
 
 
 
 
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  license: apache-2.0
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+ tags:
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+ - image-super-resolution
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+ - scene-text
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+ - text-image-guided-super-resolution
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+ - cvpr-2026
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  ---
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+
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+ # TiGeSR checkpoints
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+
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+ Official checkpoints for **TiGeSR / TIGER**: *Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance* (CVPR 2026).
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+
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+ - 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)
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+ - Code: [OpenVeraTeam/TiGeSR](https://github.com/OpenVeraTeam/TiGeSR)
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+ - Dataset: [UZ-ST](https://huggingface.co/datasets/mxluocv/UZ-ST)
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+
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+ ## Checkpoint layout
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+
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+ ```text
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+ uzst/
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+ β”œβ”€β”€ stage1/
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+ β”‚ β”œβ”€β”€ model.pth
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+ β”‚ └── encoder.pth
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+ └── stage2/
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+ └── model.pkl
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+
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+ realce/
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+ β”œβ”€β”€ stage1/
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+ β”‚ β”œβ”€β”€ model.pth
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+ β”‚ └── encoder.pth
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+ └── stage2/
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+ └── model.pkl
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+ ```
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+
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+ `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.
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+
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+ ## Download
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+
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+ ```bash
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+ hf download mxluocv/TiGeSR --local-dir weights
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+ ```
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+
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+ For inference commands and data preparation, see the code repository README.
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+
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+ ## License
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+
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+ The code is released under Apache-2.0. Please consult the code repository and the respective base-model licenses for use of the checkpoints.