metadata

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.

Data Details

Developed by: Jianyi Wang
Data type: Synthetic and real-world test sets for image super-resolution
License: S-Lab License 1.0
Data Description: The test sets are used to reproduce the metric results shown in Paper.
Resources for more information: GitHub Repository.

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

We currently provide the following test sets:

DIV2K_Val: 3000 synthetic data pairs on the validation of DIV2K generated used the same degradation used for training StableSR.
RealSR Val: Center-cropped data pairs on RealSRv3.
DRealSR Val: Center-cropped data pairs on DRealSR.
DPED Val: Center-cropped LQ-only data on DPED.

Evaluation Results

See Paper for details.