choidj/DTD235

About DTD235

DTD235 is a texture-focused test set randomly sampled from the Describable Textures Dataset (DTD).
We release it as a super-resolution (SR) evaluation test set to assess how well models capture and preserve fine textures.
It is currently used in our codebase: FGA-SR — https://github.com/HPC-Lab-KOREATECH/FGA-SR

Reference — Describable Textures Dataset (DTD)

If you use DTD or our DTD235 subset, please cite the original DTD paper:

• M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, A. Vedaldi, “Describing Textures in the Wild.” CVPR, 2014.
  Describable Textures Dataset (VGG, University of Oxford)

BibTeX

@InProceedings{cimpoi14describing,
  Author    = {Cimpoi, Mircea and Maji, Subhransu and Kokkinos, Iasonas and Mohamed, Sammy and Vedaldi, Andrea},
  Title     = {Describing Textures in the Wild},
  Booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  Year      = {2014}
}

Acknowledgments

We thank the creators of DTD and the Visual Geometry Group (VGG), University of Oxford, for releasing the dataset for research. DTD235 is a small subset randomly sampled from DTD; please refer to the DTD page for terms of use and citation.