Depth-Anything-V2 — A More Capable Foundation Model for Monocular Depth Estimation

Overview

Depth-Anything-V2 is a state-of-the-art model for monocular depth estimation that significantly outperforms its predecessor, V1, in terms of fine-grained details and robustness. It offers faster inference speed, fewer parameters, and higher depth accuracy compared to SD-based models. This project is a part of the NeurIPS 2024 conference and is designed to provide a more capable foundation for depth estimation tasks.

Key Features

Improved performance over V1 with enhanced fine-grained details and robustness
Faster inference speed and fewer parameters compared to SD-based models
Higher depth accuracy for monocular depth estimation tasks

Use Cases

Researchers and developers working on computer vision tasks requiring depth estimation from monocular images
Applications in autonomous vehicles, robotics, and augmented reality where accurate depth perception is crucial
Academic research and development in the field of artificial intelligence and machine learning for depth-related tasks

Advantages

Outperforms previous models in terms of accuracy and robustness
Offers faster inference, which is beneficial for real-time applications
Fewer parameters lead to more efficient model deployment and usage

Limitations / Considerations

The project is relatively new, and long-term performance in various scenarios is yet to be fully evaluated
The "Giant" model is not yet available, which may limit its use in applications requiring extremely large model capacities
The project's GitHub repository and project page were temporarily flagged and removed, which could indicate potential issues with public accessibility

Monodepth2: An open-source project for monocular depth estimation, differing in its approach and model architecture.
MegaDepth: A dataset and model for large-scale monocular depth estimation, with a focus on dataset creation and model training.
DPT: A different approach to depth estimation using a different model architecture, offering an alternative for developers.

Basic Information

GitHub: Depth-Anything-V2
Stars: 7,032
License: Unknown
Last Commit: 2025-11-16

📊 Project Information

Project Name: Depth-Anything-V2
GitHub URL: https://github.com/DepthAnything/Depth-Anything-V2
Programming Language: Python
⭐ Stars: 7,032
🍴 Forks: 696
📅 Created: 2024-06-13
🔄 Last Updated: 2025-11-16

🏷️ Project Topics

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📚 Documentation

🎥 Video Tutorials

Video Depth Anything

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Depth-Anything-V2

Project Description