facebookresearch/sam-3d-objects

Health v2 · maintenance only

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Adoption not part of the score

7322 stars · 874 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SAM 3D Objects is a foundation model from Meta that reconstructs full 3D shape geometry, texture, and layout from a single image, with code, model weights, and a benchmark released. It is designed for real-world scenes with occlusion and clutter, using progressive training and a human-feedback data engine.

Use cases

• convert a photo of an object into a 3D model
• reconstruct 3D geometry and texture from a single image
• generate 3D assets for games or AR from photos
• benchmark 3D object reconstruction models
• extract 3D shapes from cluttered real-world scenes

When to choose

• you need single-image to 3D reconstruction with geometry and texture
• you want a state-of-the-art foundation model for 3D object generation
• your images contain occlusion and clutter typical of real-world scenes
• you want to evaluate against a challenging 3D reconstruction benchmark

When to avoid

• you need human body or pose reconstruction (use SAM 3D Body instead)
• you need multi-view or video-based 3D reconstruction
• you lack GPU resources for running large vision models
• you need a permissively licensed model for commercial use without checking the custom license

Facets

library · maturity active

machine-learning deep-learning image-processing computer-vision graphics sdk computer-vision deep-learning artificial-intelligence graphics image-processing python cross-platform 3d-reconstruction single-image-to-3d foundation-model mesh-generation texture-generation segment-anything meta-ai checkpoints benchmark gpu linux

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