About This Site
Meta's single-image 3D reconstruction model with SAM 3 segmentation. sam3d is Meta’s single-image 3D reconstruction model that fuses SAM 3 open-vocabulary segmentation with geometry, texture, and layout predictions. It turns ordinary photos into ready-to-use 3D assets. As a research-grade model, it reconstructs 3D geometry, texture, and layout from just one image, extending the Segment Anything family to enable text or visual prompts to isolate objects and quickly convert them into 3D assets.
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Key Features AI
Core Features
Single-image 3D reconstruction (geometry, texture, layout)
Open-vocabulary segmentation using SAM 3 prompts (text, points, boxes)
Open ecosystem with checkpoints, inference code, and benchmarks
XR (AR/VR) ready for immersive applications
Efficient inputs, compatible with legacy photos and user-generated content
Advantages
Single-image capture reduces hardware and setup complexity
Open-source checkpoints, inference code, and benchmarks accelerate adoption
Pairs with SAM 3 for text-to-3D object extraction
Works on legacy or user-generated images for rapid AR/VR workflows
缺点：Sensitive to low-quality images, extreme lighting, or heavy occlusions
缺点：Rare object categories and fine-grained structures may be misinterpreted
缺点：Dynamic humans or deformable objects remain challenging
缺点：Latency and compute must be profiled for production scale
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