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--- |
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license: other |
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license_name: ntu-slab-license |
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license_link: https://github.com/IceClear/StableSR/blob/main/LICENSE.txt |
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task_categories: |
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- image-to-image |
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--- |
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# StableSR TestSets Card |
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These test sets are used associated with the StableSR, available [here](https://github.com/IceClear/StableSR). |
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## Data Details |
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- **Developed by:** Jianyi Wang |
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- **Data type:** Synthetic and real-world test sets for image super-resolution |
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- **License:** [S-Lab License 1.0](https://github.com/IceClear/StableSR/blob/main/LICENSE.txt) |
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- **Data Description:** The test sets are used to reproduce the metric results shown in [Paper](https://arxiv.org/abs/2305.07015). |
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- **Resources for more information:** [GitHub Repository](https://github.com/IceClear/StableSR). |
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- **Cite as:** |
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@InProceedings{wang2023exploiting, |
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author = {Wang, Jianyi and Yue, Zongsheng and Zhou, Shangchen and Chan, Kelvin CK and Loy, Chen Change}, |
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title = {Exploiting Diffusion Prior for Real-World Image Super-Resolution}, |
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booktitle = {arXiv preprint arXiv:2305.07015}, |
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year = {2023}, |
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} |
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# Uses |
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Please refer to [S-Lab License 1.0](https://github.com/IceClear/StableSR/blob/main/LICENSE.txt) |
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We currently provide the following test sets: |
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- DIV2K_Val: 3000 synthetic data pairs on the validation of [DIV2K](https://data.vision.ee.ethz.ch/cvl/DIV2K/) generated used the same degradation used for training StableSR. |
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- RealSR Val: Center-cropped data pairs on [RealSRv3](https://github.com/csjcai/RealSR). |
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- DRealSR Val: Center-cropped data pairs on [DRealSR](https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution). |
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- DPED Val: Center-cropped LQ-only data on [DPED](https://github.com/aiff22/DPED). |
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## Evaluation Results |
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See [Paper](https://arxiv.org/abs/2305.07015) for details. |
