---
pipeline_tag: depth-estimation
license: apache-2.0
---
Depth Any Panoramas:
A Foundation Model for Panoramic Depth Estimation
Xin Lin ·
Meixi Song ·
Dizhe Zhang ·
Wenxuan Lu ·
Haodong Li
Bo Du ·
Ming-Hsuan Yang ·
Truong Nguyen ·
Lu Qi
This repository presents **Depth Any Panoramas (DAP)**, a panoramic metric depth foundation model that generalizes across diverse scene distances. It explores a data-in-the-loop paradigm for both data construction and framework design, combining public datasets, high-quality synthetic data, and real panoramic images. The model adopts DINOv3-Large as its backbone and introduces innovations such as a plug-and-play range mask head, sharpness-centric optimization, and geometry-centric optimization to enhance robustness and ensure geometric consistency across views. Experiments demonstrate strong performance and zero-shot generalization, providing robust and stable metric predictions in diverse real-world scenes.
More details can be found in the [paper](https://huggingface.co/papers/2512.16913) and on the [project page](https://insta360-research-team.github.io/DAP_website/).
## 🔨 Installation
Clone the repo first:
```Bash
git clone https://github.com/Insta360-Research-Team/DAP
cd DAP
```
(Optional) Create a fresh conda env:
```Bash
conda create -n dap python=3.12
conda activate dap
```
Install necessary packages (torch > 2):
```Bash
# pytorch (select correct CUDA version, we test our code on torch==2.7.1 and torchvision==0.22.1)
pip install torch==2.7.1 torchvision==0.22.1
# other dependencies
pip install -r requirements.txt
```
## 🤝 Pre-trained model
Please download the pretrained model from this Hugging Face repository: [Insta360-Research/DAP-weights](https://huggingface.co/Insta360-Research/DAP-weights).
## 📒 Inference
```Bash
python test/infer.py
```
## 🚀 Evaluation
```Bash
python test/eval.py
```
## 🤝 Acknowledgement
We appreciate the open source of the following projects:
* [PanDA](https://caozidong.github.io/PanDA_Depth/)
* [Depth-Anything-V2](https://github.com/DepthAnything/Depth-Anything-V2)
## Citation
If you find our work useful, please cite our paper:
```bibtex
@article{lin2025dap,
title={Depth Any Panoramas: A Foundation Model for Panoramic Depth Estimation},
author={Lin, Xin and Song, Meixi and Zhang, Dizhe and Lu, Wenxuan and Li, Haodong and Du, Bo and Yang, Ming-Hsuan and Nguyen, Truong and Qi, Lu},
journal={arXiv},
year={2025}
}
```