New

Effortless AI 3D Reconstruction from Photo

Name: AI 3D Reconstruction from Photo - Generate 3D Models Instantly
Author: SAM 3D

Generate high-quality 3D models from a single image with powerful machine learning 3D generation that simplifies complex 3D modeling. Bring your visions to life with automated 3D capture.

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No technical skill required

Instant Results

Free to try

Key Features

Unleash the power of AI for 3D modeling with these unique capabilities.

Single Image 3D Reconstruction

Reconstruct full 3D object geometry, texture, and layout from a single 2D image, handling occlusions and clutter. Ideal for neural 3D modeling without manual input.

Gaussian Splatting Support

Supports Gaussian splatting representation (up to 32 splats per occupied voxel) to achieve high-quality point-based neural rendering and detailed 3D outputs.

Foundation Model

Works as a professional neural 3D modeling foundation, SAM 3D predicts both object and scene reconstructions using pose, shape, texture and layout prediction.

How It Works

Transform a single photo into a 3D masterpiece in three easy steps.

Upload Your Photo

Upload any 2D image to our AI-powered platform for automated 3D capture.

AI Reconstruction

Use this machine learning 3D generation to automatically process and reconstruct your 3D model from the uploaded image.

Download Your 3D Model

Download your reconstructed 3D model in various formats and use it for your projects.

Frequently Asked Questions

Get answers to common questions about AI 3D reconstruction from photo.

SAM 3D is a generative AI model by Meta AI that reconstructs 3D models from single 2D images, simplifying the 3D content creation process. It uses advanced techniques like Gaussian splatting and Mixture-of-Transformers architecture.

SAM 3D drastically lowers the barrier to entry by generating 3D models from single images, unlike manual modeling which requires highly skilled experts and significant time investment.

SAM 3D accepts segmentation masks and 2D keypoints as input prompts. It generates mesh and Gaussian splatting outputs, enabling high-quality, point-based neural rendering.

SAM 3D achieves a 5:1 win rate in human preference tests over recent 3D generation models on real-world objects and scenes showcasing superior ability to create realistic 3D models.