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+ ---
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+ license: cc-by-nc-sa-4.0
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+ ---
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+
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+ # Dataset Description
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+
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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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+
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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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+
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+ Please see more details in the paper.
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+
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+ # Citation
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+
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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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+ ```