Depth Pro is a foundation model for zero-shot metric monocular depth estimation, producing sharp, high-frequency depth maps with absolute scale from a single image. Unlike many prior approaches, it does not require camera intrinsics or extra metadata, yet still outputs metric depth suitable for downstream 3D tasks. Apple highlights both accuracy and speed: the model can synthesize a ~2.25-megapixel depth map in around 0.3 seconds on a standard GPU, enabling near real-time applications. The repo and research page emphasize boundary fidelity and crisp geometry, addressing a common weakness in monocular depth where edges can blur. Community integrations (e.g., inference wrappers and UI nodes) have sprung up around the model, reflecting practical interest in video, AR, and generative pipelines. As a general-purpose monocular depth backbone, Depth Pro slots into 3D reconstruction, relighting, and scene understanding workflows that benefit from metric predictions.

Features

  • Zero-shot metric depth with absolute scale
  • High-resolution, sharp depth maps with strong boundary detail
  • No camera intrinsics required for inference
  • ~0.3s per 2.25MP image on a standard GPU
  • Ready for 3D, AR, and video post-processing pipelines
  • Community integrations for faster adoption and tooling

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AI Models

License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python AI Models

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4 days ago