Multi-Layer AI Rendering for Simple Space Design Customization
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Solution Overview
Problem
Existing construction and design rendering programs are complex, expensive, and primarily designed for professionals, making it difficult for average consumers to visualize how different materials will look together in a space, especially in residential remodeling projects.
Innovation Solution
A generative multi-layered image rendering system utilizing AI/ML models to generate customizable three-dimensional renderings of spaces, allowing users to adjust specific design elements like flooring, lighting, and furniture through text prompts, leveraging neural networks and preprocessing techniques to enhance user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional construction and design rendering programs are used, then professional-grade rendering quality is achieved, but the programs become complex and expensive
Solution Approach 1:
The patent segments the rendering process into distinct controllable layers (e.g., structural elements, furnishings, decorations) that can be independently modified. This allows professional-grade rendering quality to be achieved through modular composition rather than complex monolithic software, reducing overall system complexity while maintaining high output quality.
Solution Approach 2:
The patent introduces an intermediary system that translates simple user inputs (text prompts, basic parameters) into complex rendering outputs. This intermediary layer handles the computational complexity internally while presenting a simplified interface to users, resolving the contradiction between professional-quality output and ease of use.
2Manufacturing precision
If traditional construction and design rendering programs are used, then professional-grade rendering quality is achieved, but the programs become expensive
Solution Approach 1:
The patent employs cost-effective rendering techniques that generate high-quality visuals without requiring expensive proprietary software licenses. By using accessible computational methods and open-standard approaches, the system delivers professional-grade rendering quality at a fraction of the cost of traditional commercial rendering programs.
3Adaptability or versatility
If detailed customization of design elements is enabled, then user control over rendering is improved, but the interface complexity increases
Solution Approach 1:
The patent divides the design space into distinct layers and elements (walls, floors, ceilings, furnishings, decorations) that can be independently customized. This segmentation allows extensive adaptability within each category while presenting a organized, manageable interface structure that doesn't overwhelm users with all possibilities simultaneously.
Solution Approach 2:
The patent implements dynamic interface elements that adapt to user needs - showing only relevant customization options based on the current layer or element being edited. This dynamic presentation maintains interface simplicity while providing comprehensive customization capability when needed.
Data Source
AI summary
Systems, methods, and devices for generative rendering based on user-initiated prompts. A method includes determining a base rendering of a space and generating a layer within the base rendering, wherein the layer is associated with an identified region within the base rendering. The method includes receiving a layer amendment request comprising instructions for amending the identified region associated with the layer, wherein the layer amendment request comprises one or more of a text prompt or an image prompt. The method includes providing the layer amendment request to an artificial intelligence and/or machine learning (AI/ML) engine configured to generatively render the identified region based on the layer amendment request.