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From Words to Worlds: Exploring Generative 3D Models in Design and Fabrication
Valdemar Danry1, Cenk Guzelis2, Lingdong Huang1
1MIT Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
3D Printing and Additive Manufacturing
|March 28, 2025
Summary
This study introduces Depthfusion, a new artificial intelligence (AI) system for creating 3D models from text or images. Depthfusion enables custom object design and fabrication across various materials and techniques.
Area of Science:
- Computer Science
- Materials Science
- Manufacturing Engineering
Background:
- Artificial intelligence (AI) is transforming traditional design and fabrication workflows.
- AI-powered tools offer novel pathways for custom object creation.
- Existing text-to-image models lack direct 3D output capabilities.
Purpose of the Study:
- To introduce Depthfusion, a novel text-to-3D model generation system.
- To explore the application of AI-generated 3D models in diverse fabrication techniques.
- To demonstrate the potential for high-resolution, artistically controlled 3D model production.
Main Methods:
- Integration of leading text-to-image AI models (Midjourney, Stable Diffusion, DALL-E).
- Application of advanced mesh inflation and depth mapping techniques.
- Utilizing AI-generated 3D models for 3D printing and additive manufacturing.
Main Results:
- Successful generation of detailed 3D models from textual and 2D image inputs.
- Creation of a biomimetic tableware set merging intricate design with functionality.
- Fabrication of a large-scale ceramic vase and a sneaker-shaped baked product.
Conclusions:
- Depthfusion empowers rapid creation of detailed 3D models with high artistic control.
- AI-driven 3D modeling facilitates bespoke manufacturing across diverse mediums.
- The system pushes the boundaries of traditional object design and fabrication.
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