DepthPro
| Property | Value |
|---|---|
| Author | Apple |
| License | Apple-ASCL |
| Paper | View Paper |
| Downloads | 6,254 |
What is DepthPro?
DepthPro is a groundbreaking foundation model developed by Apple for zero-shot metric monocular depth estimation. It represents a significant advancement in computer vision technology, capable of generating high-resolution depth maps with exceptional sharpness and detailed accuracy in less than a second.
Implementation Details
The model employs an efficient multi-scale vision transformer architecture specifically designed for dense prediction. It processes 2.25-megapixel depth maps in just 0.3 seconds on standard GPU hardware, making it both powerful and practical for real-world applications. The implementation combines synthetic and real datasets during training to achieve both metric accuracy and precise boundary definition.
- Multi-scale vision transformer architecture
- Efficient processing (0.3s per 2.25MP image)
- State-of-the-art focal length estimation
- Dedicated boundary accuracy metrics
Core Capabilities
- Zero-shot metric depth estimation
- High-resolution depth map generation
- Absolute scale prediction without camera metadata
- Sharp boundary detection and tracing
- Fast processing speed on standard GPU hardware
Frequently Asked Questions
Q: What makes this model unique?
DepthPro stands out for its ability to generate metric depth maps without requiring camera intrinsics, while maintaining exceptional boundary accuracy and processing speed. It's one of the few models that combines high-resolution output with practical processing times.
Q: What are the recommended use cases?
The model is ideal for applications requiring quick, accurate depth estimation from single images, such as 3D reconstruction, augmented reality, computational photography, and computer vision systems where camera parameters are unknown.
