SAM 3D: Meta's Foundation Model for Real-Time 3D Reconstruction from Single Images
Open-source AI trained on 1M+ annotated images and 3.14M model-generated meshes. Achieves 5:1 win rate over leading models. Two specialized models: SAM 3D Objects for product reconstruction, SAM 3D Body with Meta Human Rig (MHR) system. Powers Facebook Marketplace's View in Room feature. Try free on Segment Anything Playground.
Foundation Model for 3D Reconstruction
Meta AI's latest advancement in the Segment Anything Collection, comprising two open-source foundation models for 3D reconstruction from single 2D images.
Data Engine Approach
Human annotators verify and rank meshes rather than create from scratch, enabling scalable high-quality training on 1M+ images
Real-Time Performance
Near real-time 3D reconstruction through advanced diffusion optimization, trained on 8M+ high-quality images
Dual Architecture
SAM 3D Objects handles products and occlusions; SAM 3D Body estimates human pose using MHR parametric model
Gaussian Splat Output
PLY format 3D representation with interactive prompts support: segmentation masks and 2D keypoints
Core Features
Choose the right tool for your 3D reconstruction needs
SAM 3D Objects
Occlusion-aware 3D reconstruction that powers Facebook Marketplace's View in Room feature. Outputs Gaussian splat PLY files compatible with Unity, Blender, and Unreal Engine.
- ✓Real-world application: Facebook Marketplace furniture visualization before purchase
- ✓Robotics: Natural language object manipulation with spatial understanding
- ✓Game development: Instant asset creation from photo references with texture and layout
SAM 3D Body
Meta Momentum Human Rig (MHR) parametric model for anatomically accurate pose estimation. Works with unusual postures and partial occlusions.
- ✓Sports medicine: Anatomical pose analysis for injury assessment and rehabilitation tracking
- ✓VR/AR: Realistic avatar creation with separated skeletal system (MHR format output)
- ✓Animation: Rigged character creation from single photos, supports interactive 2D keypoint prompts
Quick Start Guide - Segment Anything Playground
No technical expertise required. Real-time 3D reconstruction in seconds.
Access & Upload
Visit the Segment Anything Playground. Upload your image - supports single or multi-object scenes. For best results, use well-lit photos at 1024px+ resolution. No professional equipment needed.
Model Selection
Choose SAM 3D Objects for products, furniture, or scenes. Select SAM 3D Body for human pose estimation. The model auto-detects and segments targets using the data engine approach.
AI Processing
Real-time diffusion optimization generates your 3D reconstruction. The foundation model ensures high-quality output without manual mesh creation. Near real-time performance guaranteed.
Export & Integrate
Download Gaussian splat PLY files (Objects) or MHR format (Body). Compatible with Blender, Unity, Unreal Engine. Combine both models for aligned human-object scenes. API available for batch processing.
Technical Specifications
Performance comparison with traditional methods
| Metric | SAM 3D Objects | SAM 3D Body | Traditional |
|---|---|---|---|
| Processing Time | ~3s | ~5s | 5+ min |
| Input Requirement | 1 image | 1 image | 30+ images |
| Output Quality |
Real-World Applications
Powered by the same foundation models across industries
Facebook Marketplace Integration
Meta's View in Room feature uses SAM 3D Objects to help shoppers visualize furniture in their homes before purchasing. Real-time 3D reconstruction from product photos.
Training Data: 1M+ images
Performance: 5:1 win rate
Robotics & Autonomous Systems
Natural language object detection and manipulation. SAM 3 enables robots to identify objects from text descriptions, while SAM 3D provides spatial understanding.
Model Scale: 8M+ images
Output Format: PLY Gaussian splat
Healthcare & Sports Medicine
SAM 3D Body's MHR system enables anatomically accurate pose analysis for injury assessment, rehabilitation tracking, and athletic performance optimization.
Architecture: MHR parametric
Reconstruction: Real-time
SAM 3D vs Alternatives
In-depth comparison analysis
SAM 3D vs Traditional Photogrammetry
SAM 3D Advantages
- • Single image vs 30+ multi-angle shots
- • Processing time: seconds vs minutes/hours
- • No professional equipment or skills needed
Trade-offs
- • Back details inferred by AI may be less accurate
- • Ultra-fine textures may not match high-res multi-view
SAM 3D vs NeRF (Neural Radiance Fields)
SAM 3D Advantages
- • Single input vs NeRF requiring 20-50 multi-view images
- • Instant generation vs minutes of training
- • Standard 3D format output (easy integration)
Trade-offs
- • NeRF excels in complex lighting photo-realism
- • NeRF better for static scene view interpolation
SAM 3D vs AI-Generated 3D (Stable Diffusion 3D, Point-E)
SAM 3D Advantages
- • Based on real photos, predictable results
- • Accurate proportions and dimensions
- • High detail fidelity
Trade-offs
- • AI generation allows pure conceptual creation
- • AI generation offers more artistic flexibility
Resources & Tools
Everything you need to get started with SAM 3D
Frequently Asked Questions
Everything you need to know about SAM 3D
Ready to Try SAM 3D?
Transform your photos into professional 3D models in seconds. No technical skills required.