What is Sam3D
Sam3D is Meta's research-grade model that reconstructs 3D geometry, texture, and layout from a single image. It extends the Segment Anything family, enabling text or visual prompts to isolate objects and quickly convert them into 3D assets.
How to use Sam3D
- Capture & prompt: Use a single, well-lit RGB image. Optionally apply SAM 3 with a text or box prompt to isolate the target object.
- Reconstruct with sam3d: Run inference using the released checkpoints and code; sam3d predicts geometry, texture, and layout directly.
- Export & deploy: Export the mesh/texture; place into AR viewers, 3D engines, robotics simulators, or marketing experiences.
Features of Sam3D
- Single-image → 3D: Infers full 3D shape, texture, and layout from one RGB photo.
- Open-vocabulary: Uses SAM 3 prompts (text, points, boxes) to isolate objects and deliver targeted 3D assets.
- Open ecosystem: Ships checkpoints, inference code, and benchmarks like Artist Objects and SAM 3D Body.
- XR ready: Feeds AR/VR pipelines for virtual rooms, mixed reality scenes, and immersive storytelling.
- Efficient inputs: Works with legacy photos, user-generated content, and single product shots.
- Benchmarks: Includes clear evaluation suites to measure performance and fine-tune.
Use Cases of Sam3D
- Creative production: Accelerate games, CGI, and social content by scanning products or props from a single photo.
- E-commerce & AR shopping: Enable “view in room” with one product shot.
- Robotics & autonomy: Provide 3D priors when depth is missing; infer shape and free space from cameras.
- Medical & scientific viz: Turn 2D scans or microscopy into 3D forms for inspection.
FAQ
- What makes sam3d different from photogrammetry? sam3d reconstructs from a single image with SAM 3 prompts, while photogrammetry needs many calibrated views and controlled capture.
- Does sam3d need depth sensors? No. sam3d predicts geometry, texture, and layout from RGB alone, reducing reliance on LiDAR or depth cameras.
- Can sam3d isolate specific objects? Yes. Use SAM 3 open-vocabulary prompts (text, points, boxes) to mask the object, then pass it to sam3d for clean reconstruction.
- Where does sam3d struggle? Low-res, noisy, or heavily occluded images; rare categories; deformable humans; and scenes with motion blur.
- Is sam3d open-source? Meta provides checkpoints, inference code, and benchmarks, enabling reproducible research and production pilots.
- Which datasets ship with sam3d? Benchmarks include the artist-curated Artist Objects set and SAM 3D Body data for human mesh recovery.
- How does sam3d help AR commerce? Convert single product shots into AR-ready 3D assets, powering “view in room” with minimal capture overhead.
- Can sam3d run in real time? Latency depends on hardware and optimization (batching, quantization, distillation). Profile for your target devices.
- How do I improve sam3d output? Capture sharp images, simplify backgrounds, and fine-tune on domain-specific data to reduce artifacts.
- What about safety and privacy? Establish consent and policies for reconstructing private spaces; consider watermarking or usage controls for sensitive deployments.
