Ian824/High-Resolution-Rainy-Image

High-resolution Rainy Image Synthesis: Learning from Rendering

This is the dataset in the paper "High-resolution Rainy Image Synthesis: Learning from Rendering"

• Project Page: https://kb824999404.github.io/HRIG/
• Paper: https://arxiv.org/abs/2502.16421
• Code: https://github.com/kb824999404/HRIG

HRI Dataset

The High-resolution Rainy Image (HRI) dataset in the rendering stage.

scene	dataset type	resolution	viewpoints	moments	intensities	image pairs
lane	training set	2048×1024	3	100	4	1200
	test set		1			400
citystreet	training set	2048×1024	5	25	4	500
	test set		1			100
japanesestreet	training set	2048×1024	8	25	4	800
	test set		2			200

• clean: background RGB images and depth images of all scenes.
• rainy: rain layer images, RGB rainy images and depth rainy images of all scenes.
• trainset.json: the sample lists of the training set.
• testset.json: the sample lists of the test set.
• For each sample in the training set and the test set:
  • scene: the scene name
  • sequence: the viewpoint name
  • intensity: the rain intensity
  • wind: the wind direction( all zero for the HRI dataset)
  • background: the path of the background RGB image
  • depth: the path of the background depth image
  • rain_layer: the path of the rain layer image
  • rainy_depth: the path of the rainy depth image
  • rainy_image: the path of the rainy RGB image

BlenderFiles

The Blender files for rendering RGB and depth images of all viewpoints are included in the directory of each scene.

Rain streak database

The Rain streak database from the paper Rain Rendering for Evaluating and Improving Robustness to Bad Weather.

Ctation

When using these datasets, please cite our paper:

@article{zhou2025high,
  title={High-resolution Rainy Image Synthesis: Learning from Rendering},
  author={Zhou, Kaibin and Zhao, Shengjie and Deng, Hao and Zhang, Lin},
  journal={arXiv preprint arXiv:2502.16421},
  year={2025}
}