Project Overview

UniDepthV2 was released by Luigi Piccinelli et al. in February 2025. UniDepthV2 can reconstruct metric 3D scenes from a single image across domains. Unlike existing MMDE paradigms, UniDepthV2 predicts metric 3D points directly from the input image during inference, requiring no additional information, aiming to achieve a general and flexible MMDE solution. Related paper results are... UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler .

This tutorial uses resources for a single RTX 4090 card.

Project Examples

Run steps

1. After starting the container, click the API address to enter the Web interface

If "Bad Gateway" is displayed, it means the model is initializing. Since the model is large, please wait about 1-2 minutes and refresh the page.

2. Once you enter the web page, you can interact with the model

Exchange and discussion

🖌️ If you see a high-quality project, please leave a message in the background to recommend it! In addition, we have also established a tutorial exchange group. Welcome friends to scan the QR code and remark [SD Tutorial] to join the group to discuss various technical issues and share application effects↓

Citation Information

The citation information for this project is as follows:

@inproceedings{piccinelli2024unidepth,
    title     = { {U}ni{D}epth: Universal Monocular Metric Depth Estimation},
    author    = {Piccinelli, Luigi and Yang, Yung-Hsu and Sakaridis, Christos and Segu, Mattia and Li, Siyuan and Van Gool, Luc and Yu, Fisher},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year      = {2024}
}

@misc{piccinelli2025unidepthv2,
      title={ {U}ni{D}epth{V2}: Universal Monocular Metric Depth Estimation Made Simpler}, 
      author={Luigi Piccinelli and Christos Sakaridis and Yung-Hsu Yang and Mattia Segu and Siyuan Li and Wim Abbeloos and Luc Van Gool},
      year={2025},
      eprint={2502.20110},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.20110}, 
}