New

Reconstruct Cluttered Scenes in 3D from a Single Image

Name: SAM 3D for Cluttered Scene Reconstruction
Author: SAM 3D

SAM 3D delivers powerful complex environment 3D reconstruction, turning single 2D images into detailed 3D models, even with multiple objects and occlusions. Perfect for real-world scene capture.

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Cutting-Edge AI

Single Image Input

High-Quality Output

Key Features for Cluttered Scene Reconstruction

SAM 3D excels at handling the complexities of real-world scene capture.

Single Image 3D Reconstruction

Reconstruct entire complex environment 3D scenes from only one 2D image. SAM 3D excels where other methods fail by inferring occluded geometry and handling intricate layouts.

Occlusion Handling

SAM 3D predicts full 3D geometry even for multiply occluded scenes, generating complete 3D models even when parts of an object are hidden from view. Works as a professional multiple objects reconstruction tool.

Gaussian Splatting

Output in Gaussian splat format (up to 32 splats per voxel) for high-quality, point-based real-world scene capture and neural rendering to provide compelling results.

Easy 3D Reconstruction in 3 Steps

Transform any single image into a detailed 3D model.

Upload Your Image

Upload a single 2D image of your cluttered scene or select an image example. SAM 3D handles real-world scene capture with ease.

Generate 3D Model

Use this complex environment 3D generation to instantly convert your 2D image into a full 3D model. SAM 3D takes care of the rest.

Download & Use

Download your detailed 3D model and utilize it across various applications, from game development to 3D printing.

Frequently Asked Questions

Learn more about 3D reconstruction of cluttered scenes with SAM 3D.

SAM 3D, developed by Meta AI, is a generative AI model that reconstructs intricate 3D models from single 2D images. Unlike traditional methods that struggle with complex scenes, SAM 3D handles occlusions and multiple objects effectively.

SAM 3D reconstructs 3D from a single image, unlike photogrammetry that requires multiple images from different viewpoints. In human preference tests, SAM 3D achieves a win rate of at least 5:1 over other 3D generation models on real-world objects and scenes.

SAM 3D supports Gaussian splatting output for high-quality, point-based neural rendering and creation of detailed 3D assets.

Yes, SAM 3D is designed specifically for this purpose. Its Mixture-of-Transformers (MoT) architecture and multi-stage training framework enable it to handle intricate layouts and occlusions effectively.