Datasets:
Tasks:
Image-to-Image
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| 1) This dataset contains 1,000 clean images. Each clean image was used to generate 14 rainy images with different streak orientations and magnitudes. | |
| 2) 900 images are randomly selected for "training" and the rest images are used for "testing". | |
| 3) We use PhotoShop to generate rainy images: http://www.photoshopessentials.com/photo-effects/rain/ | |
| 4) If this dataset helps your research, please cite our two papers that report this dataset: | |
| [1] X. Fu, J. Huang, D. Zeng, Y. Huang, X. Ding and J. Paisley. “Removing Rain from Single Images via a Deep Detail Network”, CVPR, 2017. | |
| [2] X. Fu, J. Huang, X. Ding, Y. Liao and J. Paisley. “Clearing the Skies: A deep network architecture for single-image rain removal”, IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2944-2956, 2017. | |
| 5) Welcome to our homepage: https://xmu-smartdsp.github.io/ | |