Constrained Asset Framework
for Production-Ready
3D Scene Generation
Instead of generating unpredictable geometry that risks hallucinations and failures, our framework orchestrates validated, optimized assets into coherent, performance-guaranteed 3D scenes that always work.
The Breakthrough
This invention enables real-time generation of high-quality, render-safe 3D scenes directly from a natural language prompt.
How It Works
While systems like Genie 3 and Point-E demonstrate impressive generative capabilities, they lack structural guarantees, deterministic output, and integration paths suitable for production 3D pipelines. In contrast, our framework delivers real-time-compatible, legally compliant, and fully reconstructable 3D scenes.
Instead of risking hallucinating geometry or unwanted assets, it validates, maps, and assembles known assets into interactive scenes with full spatial structure and long-term coherence.
The result is a fully reconstructable, real-time-ready 3D scene that runs across platforms — including Unreal, Unity, WebGL, mobile XR, and more.
Key Technical Innovations
- Guaranteed Renderability – Output is always valid and optimized for game engines.
- No Hallucinations – Assets and placement are grounded in a controlled, validated library.
- Structured Output – Scenes are generated as clean, editable JSON with full layout logic.
- Reconstructable Scenes – Every element is trackable, replayable, and reloadable at any time.
- Cross-Platform Support – Real-time performance across all platforms: Unity, Unreal, WebGL, mobile, VR/AR, and PC.
- IP Safe – No unlicensed or unpredictable content is introduced.
Prompt-to-3D-Scene Example
Prompt:
"Tokyo alley at night with a neon sign, a vending machine, a street lamp, and rain."
Output JSON:
{
"theme": "Tokyo_Alley_Night",
"objects": [
{ "type": "vending_machine", "asset": "VendA", "position": [2.3, 0, -1.0], "rotation": [0, 45, 0] },
{ "type": "neon_sign", "asset": "Neon01", "position": [1.5, 3, 0], "rotation": [0, 180, 0] },
{ "type": "street_lamp", "asset": "Lamp03", "position": [-1.2, 0, 2.4], "rotation": [0, 90, 0] }
],
"weather": "rain",
"lighting": "neon"
}Result: This scene is instantly rendered using pre-validated 3D assets with guaranteed spatial coherence. Every object is uniquely identifiable and editable — something diffusion-based video outputs cannot offer.
Technical Deep-Dive
Understanding the fundamental problems in 3D generation and our innovative approach.
🚫 Problem Space
Hallucination Problem
Non-manifold geometry, UV mapping failures, impossible physics configurations
Performance Issues
No polygon budgets, memory overflows on mobile, unoptimized draw calls
Legal/Brand Safety
IP infringement risks, no content moderation pipeline
✅ Our Solution
Renderable
Validated mesh topology
Performant
Enforced polygon/texture budgets
Legal
Pre-cleared asset library
Coherent
Physics + spatial validation
💡 Key Innovations
Fuzzy Matching
Embedding-based similarity with CLIP encodings
Multi-tier Caching
Predictive preloading with CDN edge distribution
Performance Monitoring
WebGL timer queries with adaptive quality
Intelligent Fallback
Graph-based asset relationships
Comprehensive walkthrough with code examples, architecture diagrams, and implementation details
System Architecture
Four interconnected modules working in sequence to deliver production-ready 3D scenes from natural language.
🧠Natural Language Processing
- Text normalization & tokenization
- Multi-language support via mBERT
- Intent classification & NER
- Spatial relationship parsing
→ Scene Specification (JSON)
🎯Asset Selection & Constraint Engine
- 10,000+ pre-validated 3D assets
- Performance profiles per platform
- Semantic tag hierarchies
- Multi-factor asset ranking
→ Validated asset list
🏗️Spatial Layout Generator
- Physics-based positioning
- Collision detection & resolution
- Hierarchical object relationships
- Transform matrix generation
→ 3D Scene structure
🖥️Runtime Rendering System
- Progressive loading & compression
- WebGL 2.0 + WebGPU support
- Platform-specific optimization
- Real-time performance monitoring
→ Final rendered 3D scene
Competitive Advantage
How our patented approach compares to existing solutions in the market.
| Feature | My Patent | Genie 3 | Traditional Tools |
|---|---|---|---|
| Output Type | ✅ Reusable 3D assets | ❌ Video frames | Static models |
| Hallucination Risk | ✅ None | ❌ High | N/A |
| Performance Guarantee | ✅ Enforced budgets | To be determined | Manual optimization |
| Legal Compliance | ✅ Pre-cleared IP only | ❌ Unverified | Depends on source |
| Scene Structure | ✅ Structured JSON | Pixel-based | Proprietary formats |
| Scene Editing | ✅ Object-level control | Limited control | Needs tools |
| Platform Deployment | ✅ Web, Mobile, VR Ready | Proprietary platform | Per-platform build required |
| Reconstructability | ✅ Full spatial coherence | Time-limited coherence | With manual effort |
Market Opportunity
Massive growth potential across multiple industries adopting AI-powered 3D content generation
| Sector | 2030 Est. Market Size | Example Use Case |
|---|---|---|
| VR/XR Gaming & entertainment | $700B+ | Gaming, Social VR/metaverse |
| Enterprise XR/VR | $300B+ | Manufacturing, field service and maintenance, remote collaboration, virtual e-commerce |
| VR/AR Education | $60B+ | Safety, maintenance, procedure training, leadership development |
| Mental Health Tech | $60B+ | PTSD & Trauma treatment, workplace wellness |
| Architecture, Engineering & Construction XR/VR | $40B+ | Virtual building walkthroughs |
Total Addressable Market
$1.2+ Trillion
by 2030 across all verticals
Licensing Options
Multiple pathways to leverage this patented technology for your organization's competitive advantage.
Technology Licensing
For companies seeking competitive advantage. Full source code access and joint development.
- Exclusive License
- Non-exclusive License
SaaS Platform
Cloud-based scene generation service
Tiered pricing for developers, studios, and enterprises with usage-based options for variable workloads.
Strategic Partnership
Open to acquisition or partnership discussions with major technology companies seeking to enhance their 3D content creation capabilities and metaverse platforms.
Currently in active discussions for both exclusive and non-exclusive licensing arrangements
⚡ Secure Your Competitive Advantage
This patent was filed before Google's Genie 3 release, establishing clear prior art and IP protection in the rapidly evolving 3D generation space.
By licensing this patent, you gain immediate strategic positioning to win in the 3D content generation market.
While competitors struggle with hallucinations and non-production-ready outputs, this patent provides the framework for guaranteed, deployable 3D scene generation that actually works in real-world applications.
About the Inventor
Javier Anta Callersten
AI Business Transformation Leader & VR/AR Developer
- 15+ years in AI business transformation at BCG as Senior Partner and Managing Director of BCG X, global AI leader for the retail sector
- Led AI initiatives for retail sector across 20+ countries, helping Fortune 500 companies leverage AI for competitive advantage
- Unreal Engine developer with deep expertise in real-time 3D rendering and game engine architecture
- Expert in VR/AR technologies and immersive experiences, bridging business strategy with technical implementation
Get in Touch
Ready to discuss licensing opportunities? Contact me directly to explore how this patent can accelerate your 3D generation capabilities.
Contact Information
Patent #63/848,599 • Filed before Google's Genie 3 announcement • 22 novel claims protected
Patent specification PDF and supporting documentation available on request.