README.md

---
license: cc-by-4.0
task_categories:
- depth-estimation
---

<p align="center">
  The official implementation is available on
  <a href="https://github.com/princeton-vl/FOSSA"><strong>GitHub</strong></a>.
</p>

<h1 align="center">Zero-Shot Depth from Defocus</h1>
  <p align="center">
    <a href="https://zuoym15.github.io/"><strong>Yiming Zuo*</strong></a>
    ·
    <a href="https://hermera.github.io/"><strong>Hongyu Wen*</strong></a>
    ·
    <a href="https://www.linkedin.com/in/venkat-subramanian5/"><strong>Venkat Subramanian*</strong></a>
    ·
    <a href="https://patrickchen.me/"><strong>Patrick Chen</strong></a>
    ·
    <a href="https://kkayan.com/"><strong>Karhan Kayan</strong></a>
    ·
    <a href="http://mariobijelic.de/wordpress/"><strong>Mario Bijelic</strong></a>
    ·
    <a href="https://www.cs.princeton.edu/~fheide/"><strong>Felix Heide</strong></a>
    ·
    <a href="https://www.cs.princeton.edu/~jiadeng/"><strong>Jia Deng</strong></a> 
  </p>
  <p align="center">
    (*Equal Contribution)
  </p>
  <p align="center">
    <a href="https://pvl.cs.princeton.edu/">Princeton Vision & Learning Lab (PVL)</a>    
  </p>
</p>

<h3 align="center"><a href="http://arxiv.org/abs/2603.26658">Paper</a>  · </a><a href="https://zedd.cs.princeton.edu/">Project</a> </a></h3>

<p align="center">
  <a href="TODO">
    <img src="assets/teaser.png" alt="FOSSA Teaser" width="100%">
  </a>
</p>
<hr>

<h3>Overview</h3>

<blockquote>

<p>
We captured 100 focus stacks in 100 unique scenes, covering various indoor and outdoor locations, such as classrooms, hallways, robotics labs, offices, kitchens, and gardens, providing a diverse scene coverage. 
</p>

<p>
For each focus stack, we capture images at 9 focus distances, ranging from 0.82 to 8.10m. We capture at 5 larger apertures (F1.4/2.0/2.8/4.0/5.6), and a small aperture (F16) for all-in-focus images, resulting in 6 x 9=54 images in total for each scene. This rich combination of focus distances and apertures allows us to study the sensitivity of the models' performance to each factor.
</p>

<p>
We provide a dense ground-truth depth map for each scene under the resolution of 1824 x 1216, captured with a high-accuracy Lidar. 
</p>

<br><br>
  — <a href="https://arxiv.org/abs/2603.26658"><strong>Paper (arXiv)</strong></a>
</blockquote>

<p align="center">
  <a href="https://arxiv.org/abs/2603.26658">
    <img src="assets/ZEDD.png" alt="ZEDD Teaser" width="100%">
  </a>
</p>
<hr>

### Data Structure

ZEDD contains 100 scenes divided into validation and test sets. For each scene, the data is organized as follows:

```text
ZEDD/
├── test/
│   ├── test_0001/
│   │   ├── focus_stack/
│   │   │   ├── img_run_1_motor_6D3E_aperture_F1.4.jpg
│   │   │   ├── img_run_1_motor_6D3E_aperture_F2.0.jpg
│   │   │   └── ...
│   │   └── gt/
│   │       └── K.txt
│   └── ...
└── val/
    ├── val_0001/
    │   ├── focus_stack/
    │   │   ├── img_run_1_motor_6D3E_aperture_F1.4.jpg
    │   │   ├── img_run_1_motor_6D3E_aperture_F2.0.jpg
    │   │   └── ...
    │   └── gt/
    │       ├── depth_vis.jpg
    │       ├── depth.npy
    │       ├── K.txt
    │       └── overlay.jpg
    └── ...
```

## Citation

```bibtex
@article{ZeroShotDepthFromDefocus,
  author  = {Zuo, Yiming and Wen, Hongyu and Subramanian, Venkat and Chen, Patrick and Kayan, Karhan and Bijelic, Mario and Heide, Felix and Deng, Jia},
  title   = {Zero-Shot Depth from Defocus},
  journal = {arXiv preprint arXiv:2603.26658},
  year    = {2026},
  url     = {https://arxiv.org/abs/2603.26658}
}
```