DAP
Official implementation of "Depth Any Panoramas: A Foundation Model for Panoramic Depth Estimation".
Install / Use
/learn @Insta360-Research-Team/DAPREADME

🔨 Installation
Clone the repo first:
git clone https://github.com/Insta360-Research-Team/DAP
cd DAP
(Optional) Create a fresh conda env:
conda create -n dap python=3.12
conda activate dap
Install necessary packages (torch > 2):
# 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
🖼️ Dataset
The training dataset will be open soon.
🤝 Pre-trained model
Please download the pretrained model: https://huggingface.co/Insta360-Research/DAP-weights
📒 Inference
python test/infer.py
🚀 Evaluation
python test/eval.py
🤝 Acknowledgement
We appreciate the open source of the following projects:
Citation
@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}
}
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