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Min-Jaewon
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Real-Text

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image-restoration

diffusion-models

text-recognition

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Min-Jaewon commited on Jun 19

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@@ -48,11 +48,11 @@ Real-world evaluation dataset for the TAIR task.
 **Real-Text** is an evaluation dataset constructed from [RealSR](https://github.com/csjcai/RealSR) and [DrealSR](https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution) using the same pipeline as SA-Text. It reflects **real-world degradation and distortion**, making it suitable for robust benchmarking.
-## Usage
-This dataset is designed for testing oour model, **TeReDiff**, under realistic settings.
-Check [SA-text](https://huggingface.co/datasets/Min-Jaewon/SA-Text) for training dataset.
-Please refer to our [dataset pipeline](https://github.com/paulcho98/text_restoration_dataset).
 ## Citation

 **Real-Text** is an evaluation dataset constructed from [RealSR](https://github.com/csjcai/RealSR) and [DrealSR](https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution) using the same pipeline as SA-Text. It reflects **real-world degradation and distortion**, making it suitable for robust benchmarking.
+## Notes
+- This dataset is designed for testing oour model, **TeReDiff**, under realistic settings.
+- Check [SA-text](https://huggingface.co/datasets/Min-Jaewon/SA-Text) for training dataset.
+- Please refer to our [dataset pipeline](https://github.com/paulcho98/text_restoration_dataset).
 ## Citation