Datasets:
Tasks:
Image-to-Image
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
Move links under title; drop paper-title parenthetical; connect provenance sentences
Browse files
README.md
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# ReasonText
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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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- π Paper: `<paper link β fill in>`
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- π» Code (metric **GTTCA** + method **RTC**, full usage): `<GitHub link β fill in>`
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- πΌοΈ Model SR outputs (for reproduction): [Jasonleex1995/ReasonText-SR-outputs](https://huggingface.co/datasets/Jasonleex1995/ReasonText-SR-outputs)
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## Contents
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```
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## Provenance & license
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## Citation
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# ReasonText
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π Paper: `<paper link β fill in>` Β· π» Code (GTTCA + RTC): `<GitHub link β fill in>` Β· πΌοΈ [SR outputs](https://huggingface.co/datasets/Jasonleex1995/ReasonText-SR-outputs)
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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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