IMAGE → 3D • CURATED • UPDATED DEC 24, 2025
SAM3D
Meta's Segment Anything 3D for image-to-3D reconstruction
Turns images into 3D meshes using Meta's Segment Anything 3D model. Reconstructs 3D geometry from single or multiple images with segmentation-aware processing. Leverages Meta's advanced segmentation technology to understand object boundaries and spatial relationships, enabling precise 3D reconstruction from 2D images. Produces detailed 3D meshes with proper topology suitable for research, prototyping, and experimental 3D reconstruction workflows.
QUICK TIPS
1
Use high-quality, well-lit images for best reconstruction results
2
Multiple views of the same object improve 3D quality
3
Ensure clear object boundaries for better segmentation
4
Experiment with different segmentation parameters
5
Review generated topology and refine if needed
SIMILAR TOOLS
USE CASE EXAMPLES
Research 3D Reconstruction
Use SAM3D for experimental 3D reconstruction from images.
STEPS:
- Install SAM3D from GitHub repository
- Prepare input images with clear object boundaries
- Run the reconstruction pipeline
- Review generated 3D mesh quality
- Refine parameters and iterate
- Export in your preferred 3D format
Segmentation-Aware Prototyping
Leverage segmentation capabilities for precise 3D reconstruction.
STEPS:
- Use images with distinct object segmentation
- Configure segmentation-aware processing
- Generate 3D meshes with boundary awareness
- Review segmentation accuracy in 3D output
- Refine and export for prototyping use
PRICING
Free
Completely free
FEATURED IN GUIDES
EXPLORE ALTERNATIVES
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