chaofengc/ITER

Dataset Description

This is the training dataset for our AAAI2024 paper Iterative Token Evaluation and Refinement for Real-World Super-Resolution.
You may use this dataset with our released codes in Github.

The datasets contains sub-image pairs of (LQ, HQ) patches.

• HQ_subimages: high quality image patches extracted from DIV2K, DIV8K, Flicker2K, OutdoorSceneTraining and FFHQ.
• LQ_subimages_X2: low quality patches with x2 downsampling
• LQ_subimages_X4: low quality patches with x4 downsampling

Please see more details in the paper.

Citation

If you find this dataset useful for your research, please cite our paper:

@inproceedings{chen2024iter,
  title={Iterative Token Evaluation and Refinement for Real-World Super-Resolution},
  author={Chaofeng Chen and Shangchen Zhou and Liang Liao and Haoning Wu and Wenxiu Sun and Qiong Yan and Weisi Lin},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  year={2024},
}