---
license: apache-2.0
size_categories:
- n<1K
---
# 3D Visual Illusion Depth Estimation Dataset Real

## Dataset Summary

The **3D Visual Illusion Depth Estimation Dataset Real** is designed for research on **stereo and monocular depth estimation** in 3D visual illusion scenes.  
It contains **left and right stereo images**, **disparity map**, and **illusion-region masks**.



---

## Dataset Structure

Each sample in the dataset includes:
- `left`: Left-view RGB image  
- `right`: Right-view RGB image  
- `depth`: Monocularly estimated depth map  
- `mask`: Binary mask indicating illusion regions


```text
├── disp
│    └── scene_name
│           └── xxx.pfm
├── left
│    └── scene_name
│           └── xxx.png
├── mask
│    └── scene_name
│           └── xxx-illusion.jpg
└── right
     └── scene_name
            └── xxx.png
```

---

## Data Statistics

The current release of the dataset contains:

- **Total size:** [ 8 ] GB  
- **Number of videos:** [ 83 ]  
- **Number of image pairs:** [ 455 ]  

---

## Repository

The dataset and related code are available on GitHub:  
👉 [3D-Visual-Illusion-Depth-Estimation](https://github.com/YaoChengTang/3D-Visual-Illusion-Depth-Estimation)

---

## Citation

If you find this project useful, please consider citing:
```text
@article{yao20253dvisualillusiondepth,
  title={3D Visual Illusion Depth Estimation},
  author={Chengtang Yao and Zhidan Liu and Jiaxi Zeng and Lidong Yu and Yuwei Wu and Yunde Jia},
  journal={arXiv:2505.13061},
  year={2025}
}
```