---
license: cc-by-sa-4.0
task_categories:
- image-to-image
language:
- en
tags:
- rain
pretty_name: ' High-resolution Rainy Image'
size_categories:
- 1K<n<10K
---

# 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


<table>
<tr>
<td style="padding: 0;width=30%;"><img src="Imgs/lane/lane (1).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/lane/lane (2).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/lane/lane (3).jpg" /></td>
</tr>
<tr>
<td style="padding: 0;width=30%;"><img src="Imgs/lane/lane (4).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/lane/lane (5).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/lane/lane (6).jpg" /></td>
</tr>
<tr>
<td style="padding: 0;width=30%;"><img src="Imgs/citystreet/citystreet (1).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/citystreet/citystreet (2).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/citystreet/citystreet (3).jpg" /></td>
</tr>
<tr>
<td style="padding: 0;width=30%;"><img src="Imgs/citystreet/citystreet (4).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/citystreet/citystreet (5).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/citystreet/citystreet (6).jpg" /></td>
</tr>
<tr>
<td style="padding: 0;width=30%;"><img src="Imgs/japanesestreet/japanese (1).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/japanesestreet/japanese (2).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/japanesestreet/japanese (3).jpg" /></td>
</tr>
<tr>
<td style="padding: 0;width=30%;"><img src="Imgs/japanesestreet/japanese (4).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/japanesestreet/japanese (5).jpg" /></td>
<td style="padding: 0;width=30%;"><img src="Imgs/japanesestreet/japanese (6).jpg" /></td>
</tr>
</table>


## HRI Dataset

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

<table style="text-align: center;">
<tr>
  <th>scene</th>
  <th>dataset type</th>
  <th>resolution</th>
  <th>viewpoints</th>
  <th>moments</th>
  <th>intensities</th>
  <th>image pairs</th>
</tr>
<tr>
  <td style="vertical-align: middle;" rowspan="2">lane</td>
  <td>training set</td>
  <td style="vertical-align: middle;" rowspan="2">2048×1024</td>
  <td>3</td>
  <td style="vertical-align: middle;" rowspan="2">100</td>
  <td style="vertical-align: middle;" rowspan="2">4</td>
  <td>1200</td>
</tr>
<tr>
  <td>test set</td>
  <td>1</td>
  <td>400</td>
</tr>
<tr>
  <td style="vertical-align: middle;" rowspan="2">citystreet</td>
  <td>training set</td>
  <td style="vertical-align: middle;" rowspan="2">2048×1024</td>
  <td>5</td>
  <td style="vertical-align: middle;" rowspan="2">25</td>
  <td style="vertical-align: middle;" rowspan="2">4</td>
  <td>500</td>
</tr>
<tr>
  <td>test set</td>
  <td>1</td>
  <td>100</td>
</tr>
<tr>
  <td style="vertical-align: middle;" rowspan="2">japanesestreet</td>
  <td>training set</td>
  <td style="vertical-align: middle;" rowspan="2">2048×1024</td>
  <td>8</td>
  <td style="vertical-align: middle;" rowspan="2">25</td>
  <td style="vertical-align: middle;" rowspan="2">4</td>
  <td>800</td>
</tr>
<tr>
  <td>test set</td>
  <td>2</td>
  <td>200</td>
</tr>
</table>


* `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](https://github.com/astra-vision/rain-rendering).

## 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}
}
```