MagicCraft: Natural Language-Driven Generation of Dynamic and Interactive 3D Objects for Commercial Metaverse Platforms

2025-04-30

AI Summary

Commercial metaverse applications face a bottleneck in dynamically generating interactive 3D content, as current workflows require expert-level 3D modeling and programming skills. Method: This paper introduces the first end-to-end natural language–driven 3D object generation framework, featuring a unified AI pipeline spanning text-to-image synthesis, image-to-3D reconstruction, physics-aware behavior prediction, and script generation—integrated with physical property inference, behavioral logic modeling, and WebGL-based real-time rendering. Contribution/Results: The framework enables novice users to rapidly create, interactively edit (e.g., grasp-point adjustment, pose specification, scaling), and deploy physically responsive, behaviorally intelligent 3D assets via plain-language input. Empirical evaluation on the Cluster platform demonstrates that non-expert users can produce deployable prototypes within 10 minutes, achieving a 12× speedup over conventional pipelines—significantly accelerating prototyping iteration and democratizing 3D content creation.

Technology Category

• Natural Language Processing: Generation
• Humans and AI: Game Design — Procedural Content Generation & Storytelling
• Computer Vision: 3D Computer Vision

Application Category

• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Web Mining and Content Analysis: Web data generation and simulation
• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications

Abstract

Metaverse platforms are rapidly evolving to provide immersive spaces for user interaction and content creation. However, the generation of dynamic and interactive 3D objects remains challenging due to the need for advanced 3D modeling and programming skills. To address this challenge, we present MagicCraft, a system that generates functional 3D objects from natural language prompts for metaverse platforms. MagicCraft uses generative AI models to manage the entire content creation pipeline: converting user text descriptions into images, transforming images into 3D models, predicting object behavior, and assigning necessary attributes and scripts. It also provides an interactive interface for users to refine generated objects by adjusting features such as orientation, scale, seating positions, and grip points. Implemented on Cluster, a commercial metaverse platform, MagicCraft was evaluated by 7 expert CG designers and 51 general users. Results show that MagicCraft significantly reduces the time and skill required to create 3D objects. Users with no prior experience in 3D modeling or programming successfully created complex, interactive objects and deployed them in the metaverse. Expert feedback highlighted the system's potential to improve content creation workflows and support rapid prototyping. By integrating AI-generated content into metaverse platforms, MagicCraft makes 3D content creation more accessible.

Problem

• Generating dynamic 3D objects from natural language for metaverse platforms
• Reducing 3D modeling and programming skill requirements for content creation
• Enabling interactive refinement of AI-generated 3D objects for user customization

Innovation

• Generates 3D objects from natural language prompts
• Uses generative AI for entire creation pipeline
• Provides interactive interface for object refinement