Datasets:
Tasks:
Image-to-Image
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
Update card: 4-link row, License section, unified citation
Browse files
README.md
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# ReasonText
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- π» Code (GTTCA + RTC): `<GitHub link β fill in>`
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- πΌοΈ SR outputs: [Jasonleex1995/ReasonText-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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Different annotators may recover the same text through different cues, so `reason_types` is **not unique**: it is
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the set of cues reported across annotators for that instance (a subset of the three).
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## Provenance & license
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ReasonText is released under **CC BY-NC 4.0** (non-commercial research use only).
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## Citation
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If you
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```bibtex
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<
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```
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# ReasonText
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[π Project Page](https://example.com) Β· [π arXiv](https://example.com) Β· [π OpenReview](https://example.com) Β· [π» Code](https://github.com/jasonleex1995/TAISR_needs_Reasoning)
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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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Different annotators may recover the same text through different cues, so `reason_types` is **not unique**: it is
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the set of cues reported across annotators for that instance (a subset of the three).
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## Citation
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If you find our work useful for your research, please consider citing our paper:
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```bibtex
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<fill in BibTeX>
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```
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## License
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ReasonText is released under **CC BY-NC 4.0** (non-commercial research use only).
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