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ease
features
design
support

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Description

3D-Agent is an innovative 3D modeling application powered by artificial intelligence, designed to seamlessly integrate with Blender, allowing users to create 3D models based on textual descriptions. It employs a sophisticated multi-agent AI system that orchestrates various models to interpret your scene, design geometry, generate Blender Python scripts, and visually confirm outcomes at each phase of the process. In contrast to other AI-driven 3D model creators that produce triangle meshes often needing extensive refinement, 3D-Agent interacts directly with Blender's native Python API, yielding refined quad topology that is immediately suitable for subdivision, UV mapping, and animation rigging. Core features include: - The ability to convert text into 3D models with clean topology. - An AI that is aware of and can comprehend existing objects within your viewport. - Automation of workflows such as bulk renaming, compositing setups, and export configurations. - Compatibility with Blender 3.0 and above on both Mac and Windows systems. - Options for exporting in formats like OBJ, FBX, GLB, USDZ, and STL. This tool is utilized by game developers, architects, and 3D artists for quick prototyping, architectural visualizations, and asset creation. Additionally, the free tier of the service allows for 15 model generations each month, making it accessible for newcomers and professionals alike. With its powerful capabilities, 3D-Agent is poised to transform the landscape of 3D modeling and design.

Description

Recent advancements in the realm of text-to-image synthesis have emerged from diffusion models that have been trained on vast amounts of image-text pairs. To successfully transition this methodology to 3D synthesis, it would necessitate extensive datasets of labeled 3D assets alongside effective architectures for denoising 3D information, both of which are currently lacking. In this study, we address these challenges by leveraging a pre-existing 2D text-to-image diffusion model to achieve text-to-3D synthesis. We propose a novel loss function grounded in probability density distillation that allows a 2D diffusion model to serve as a guiding principle for the optimization of a parametric image generator. By implementing this loss in a DeepDream-inspired approach, we refine a randomly initialized 3D model, specifically a Neural Radiance Field (NeRF), through gradient descent to ensure its 2D renderings from various angles exhibit a minimized loss. Consequently, the 3D representation generated from the specified text can be observed from multiple perspectives, illuminated with various lighting conditions, or seamlessly integrated into diverse 3D settings. This innovative method opens new avenues for the application of 3D modeling in creative and commercial fields.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

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Integrations

Blender

Integrations

Blender

Pricing Details

$10
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

3D-Agent

Founded

2025

Country

United States

Website

3d-agent.com

Vendor Details

Company Name

DreamFusion

Website

dreamfusion3d.github.io

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Product Features

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