3D Models with LLMs: Using AI and Magic ✨

This post explores the exciting world of 3D model generation using Large Language Models (LLMs).

Typical 3D Model Generation

Traditionally, 3D models are generated through various methods:

• Image to 3D conversion
• Buying or getting free models
• Creating models yourself

Challenges with Typical 3D Model Generation

However, these methods often come with their own set of challenges:

• Shitty quality (often low-quality results)
• Expensive or inconsistent quality
• Time-consuming processes

Using LLMs Instead

LLMs offer a new approach to 3D model generation:

• Think: LLMs can conceptualize and understand complex descriptions.
• Creating tools to build models: LLMs can be used to develop tools that automate model creation.
• Creating models: LLMs can directly generate 3D models from text prompts.
• Build: The process involves building the model based on the LLM's output.
• Did it work? Evaluation of the generated model.
• How does it look? Visual assessment of the model's appearance.

Examples of LLM-Generated 3D Models

Here are some examples of 3D models generated using LLMs:

Finding the limits

While LLMs can generate impressive 3D models, there are still limitations to consider:

• Design: After a ton of iterations, the final design may still lack the intended vision.
• Detail: Fine details may be lost or never created in the generation process. Low poly models do best here.
• Consistency: Getting consistent results across multiple generations can be challenging.

What's Next

The future of LLM-powered 3D modeling holds exciting possibilities:

• 🏃🏼‍♀️ Increase Speed
• ⚙️ Ensure consistency
• 🌀 Support higher fidelity 3D models