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license: cc-by-nc-sa-4.0 |
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# Dataset Description |
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This is the training dataset for our AAAI2024 paper [Iterative Token Evaluation and Refinement for Real-World Super-Resolution](https://arxiv.org/abs/2312.05616). |
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You may use this dataset with our released codes in [Github](https://github.com/chaofengc/ITER). |
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The datasets contains sub-image pairs of (LQ, HQ) patches. |
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- HQ_subimages: high quality image patches extracted from DIV2K, DIV8K, Flicker2K, OutdoorSceneTraining and FFHQ. |
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- LQ_subimages_X2: low quality patches with x2 downsampling |
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- LQ_subimages_X4: low quality patches with x4 downsampling |
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Please see more details in the paper. |
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# Citation |
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If you find this dataset useful for your research, please cite our paper: |
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``` |
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@inproceedings{chen2024iter, |
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title={Iterative Token Evaluation and Refinement for Real-World Super-Resolution}, |
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author={Chaofeng Chen and Shangchen Zhou and Liang Liao and Haoning Wu and Wenxiu Sun and Qiong Yan and Weisi Lin}, |
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booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, |
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year={2024}, |
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} |
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``` |
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