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