Bridging 2D and 3D Assets for Product Visualization
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Solution Overview
Problem
Current methods for product customization and visualization are inefficient and data-intensive, particularly when dealing with complex products, as they require rendering multiple layers and variations, leading to high computational demands and storage issues, making it difficult to display products in a photorealistic manner with customizable parameters like lighting and materials.
Innovation Solution
A system that bridges 2D and 3D technologies by generating a generic base model of a product, allowing for customization through 2D image manipulation, updating generic subparts with visualization assets, and displaying a 3D customized model, reducing the need for pre-rendering all variations and optimizing storage and processing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all layers and material variations are pre-rendered and stored in a database, then complete product customization options are available, but storage requirements and processing time become prohibitive
Solution Approach 1:
The patent segments the product model into multiple layers, where each layer represents a different component or material type. Instead of storing complete rendered images for every customization combination, the system stores individual layer data that can be dynamically assembled. This segmentation reduces storage requirements while maintaining full customization capability, as only the necessary layers need to be rendered and combined for each specific product configuration.
Solution Approach 2:
The system transitions from static pre-rendered images to dynamic on-demand rendering. Rather than storing all possible product variations in advance, the system keeps the base model and layer data in storage, then dynamically renders the final customized product image only when needed. This dynamic approach dramatically reduces storage requirements while maintaining adaptability, as the same base layers can be reused across multiple customization scenarios.
2Adaptability or versatility
If multiple angles, animations, and interactive views are rendered for all material iterations, then comprehensive product visualization is achieved, but processing resources and time requirements become impossible
Solution Approach 1:
The system performs preliminary preparation by creating the base 3D model and organizing it into reusable layers with defined material parameters. However, the actual rendering of multiple angles, animations, and interactive views is deferred to on-demand processing. This preliminary setup enables fast customization later, as the system only needs to apply material variations to pre-prepared layer structures rather than rendering complete product variations in advance.
Solution Approach 2:
The patent uses 2D image manipulation to create visualization assets that can be applied to 3D model layers. Instead of rendering complete 3D models from all angles for every material iteration, the system creates 2D representations of layers that can be efficiently manipulated and combined. This copying approach from 3D to 2D space reduces processing requirements while maintaining comprehensive visualization capabilities.
3Manufacturing precision
If photorealistic rendering with complex lighting and reflections is performed for all product variations, then high-quality brand representation is achieved, but computational requirements and data intensity increase significantly
Solution Approach 1:
The patent applies local quality by treating different layers of the product model with different rendering strategies. Critical layers that require photorealistic quality (such as reflective surfaces or brand-critical components) are rendered with high computational detail, while less critical layers use simplified rendering approaches. This selective application of rendering quality maintains brand representation standards while significantly reducing overall computational resource requirements.
Data Source
AI summary
A product visualization and manufacturing system and method which bridges two-dimensional (2D) and three-dimensional (3D) technologies in order to quickly and effectively display the product. The system and methods are helpful for many different product types, but especially for custom-designed jewelry products. The 2D/3D bridging invention enables a user to generate a three-dimensional generic base model of a product, modify the three-dimensional generic base model using two-dimensional image manipulation, and display a three-dimensional customized base model of a customized product. Templates, material libraries, HDRI maps, and lighting schemes may be employed.