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  # ReasonText
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- **ReasonText** (from the paper *"Reading the Unreadable: Text-Aware Image Super-Resolution Needs Reasoning"*,
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- NeurIPS 2026) is the first benchmark for **text-aware image super-resolution (TAISR)** with the following two
 
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  characteristics:
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  1. **High quality** β€” all annotations are produced by humans, with no automatic pipeline.
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  2. **Per-instance difficulty** β€” each text instance is labeled by difficulty: **Level 1** (perception) and
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  **Level 2** (reasoning-required).
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- - πŸ“„ Paper: `<paper link β€” fill in>`
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- - πŸ’» Code (metric **GTTCA** + method **RTC**, full usage): `<GitHub link β€” fill in>`
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- - πŸ–ΌοΈ Model SR outputs (for reproduction): [Jasonleex1995/ReasonText-SR-outputs](https://huggingface.co/datasets/Jasonleex1995/ReasonText-SR-outputs)
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-
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  ## Contents
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  ```
@@ -81,8 +78,8 @@ the set of cues reported across annotators for that instance (a subset of the th
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  ## Provenance & license
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- We release ReasonText under **CC BY-NC 4.0** (non-commercial research use only). ReasonText is built on
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- **RealSR (v3)** [Cai et al., ICCV 2019] and **DRealSR** [Wei et al., ECCV 2020].
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  ## Citation
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  # ReasonText
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+ πŸ“„ Paper: `<paper link β€” fill in>` &nbsp;Β·&nbsp; πŸ’» Code (GTTCA + RTC): `<GitHub link β€” fill in>` &nbsp;Β·&nbsp; πŸ–ΌοΈ [SR outputs](https://huggingface.co/datasets/Jasonleex1995/ReasonText-SR-outputs)
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+
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+ **ReasonText** is the first benchmark for **text-aware image super-resolution (TAISR)** with the following two
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  characteristics:
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  1. **High quality** β€” all annotations are produced by humans, with no automatic pipeline.
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  2. **Per-instance difficulty** β€” each text instance is labeled by difficulty: **Level 1** (perception) and
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  **Level 2** (reasoning-required).
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  ## Contents
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  ```
 
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  ## Provenance & license
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+ ReasonText is built on **RealSR (v3)** [Cai et al., ICCV 2019] and **DRealSR** [Wei et al., ECCV 2020], and is
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+ released under **CC BY-NC 4.0** (non-commercial research use only).
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  ## Citation
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