SAM 3 - 3D Objects

Reconstruct objects from photos into 3D models with geometry and texture.

Input

Input Example
Original

Output

Loading 3D Model...

Generated

Instructions

"car"

Create a 3D model from your image in seconds

10,000+ generations this month

📄 About SAM 3 - 3D Objects
Key Features
Transforms real images into detailed 3D models with accurate geometry and textures.
Offers both auto-segmentation and custom object masking for flexible object selection.
Supports advanced segmentation with point and box prompts for precise control.
Accepts external pointmap or depth data to enhance depth estimation accuracy.
Delivers output in popular 3D formats including Gaussian Splat (.ply) and GLB mesh.
Allows batch processing with multiple masks for handling several objects per image.
Enables reproducible results with an optional random seed parameter.
💡 Use Cases
Creating 3D product models for e-commerce listings and online catalogs.
Generating assets for game development and virtual or augmented reality experiences.
Automating 3D digitization of real-world objects for rapid prototyping and research.
Visualizing architectural concepts and interior designs in three dimensions.
Producing educational materials and interactive learning tools featuring 3D objects.
Enriching marketing presentations with high-quality 3D renderings from real images.
Documenting and archiving cultural artifacts and collectibles in digital 3D format.
🎯 Best For
🎯 3D designers, product visualizers, digital artists, educators, and businesses needing fast, accurate 3D object generation from images.
👍 Pros
Accurate 3D reconstruction with both geometry and texture preservation.
Flexible input options, including custom masks, prompts, and external data.
Supports multiple industry-standard 3D file formats for easy integration.
Efficient automation reduces manual workload and accelerates workflows.
Versatile for a wide range of industries and project types.
⚠️ Considerations
Requires high-quality input images for optimal results.
Advanced segmentation features may require some technical understanding.
Processing time can vary depending on image complexity and object count.
📚 How to Use SAM 3 - 3D Objects
1
Prepare a clear image of the object you wish to reconstruct in 3D.
2
Upload your image directly or provide the image URL in the input field.
3
Optionally, specify a text prompt (e.g., 'car', 'bottle') for auto-segmentation, or upload custom object masks for more control.
4
For advanced users, provide point or box prompts, or upload external pointmap/depth data to enhance segmentation and depth accuracy.
5
Submit your inputs and wait for the model to process and generate the 3D object.
6
Download your 3D model in your preferred format (Gaussian Splat, GLB mesh) for further use.
Frequently Asked Questions
SAM 3 - 3D Objects supports standard image formats such as JPEG and PNG. You can upload images directly from your device or provide an image URL for processing.
Yes, you can reconstruct multiple objects by uploading a list of custom masks, one for each object. If you do not provide masks, the model can auto-segment objects based on a text prompt.
The model generates 3D outputs in widely-used formats such as Gaussian Splat (.ply) and GLB mesh files, as well as providing individual files and metadata for further customization.
Pricing varies by model and is based on a pay-as-you-go credit system, allowing you to scale usage according to your project needs without upfront commitments.
While the basic workflow is user-friendly, utilizing advanced segmentation options such as point/box prompts or external depth data may require some familiarity with 3D data and segmentation techniques.

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