DepthAnything/PromptDA

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1159 stars · 73 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Prompt Depth Anything is a Python library implementing a CVPR 2025 method for high-resolution (up to 4K) accurate metric depth estimation. It uses low-cost LiDAR depth (e.g., iPhone ARKit) as a prompt to guide a Depth Anything foundation model, with pretrained checkpoints and a Hugging Face demo.

Use cases

• estimate accurate metric depth from a single image using iPhone LiDAR as a prompt
• generate 4K resolution depth maps for 3D reconstruction
• get depth priors for robotic grasping
• improve depth estimation on transparent objects
• benchmark monocular depth estimation on ARKitScenes and ScanNet++
• upscale low-resolution LiDAR depth to full image resolution

When to choose

• you need metric (meter-scale) depth, not just relative depth
• you have access to a low-resolution LiDAR depth prompt from an iPhone or similar sensor
• you want high-resolution depth maps for 3D reconstruction or robot grasping pipelines
• you want a research-grade model with pretrained checkpoints and a paper backing it

When to avoid

• you have no LiDAR or other prompt depth source available
• you need a lightweight production model for CPU-only or mobile deployment
• you only need relative/monocular depth without metric scale
• you need a stable long-term-supported API rather than a research codebase

Facets

library · maturity active

machine-learning computer-vision image-processing computer-vision deep-learning robotics artificial-intelligence python depth-estimation metric-depth lidar monocular-depth 3d-reconstruction robotic-grasping cvpr-2025 depth-anything 4k-resolution pretrained-models gpu linux macos

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