3D Model Surface Rendering for Pipeline-Agnostic Asset Conversion
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Solution Overview
Problem
The interoperability of 3D digital assets among studios or different pipeline versions is difficult and labor-intensive, requiring manual re-modeling and re-texturing, which is costly and time-consuming, and often results in inaccuracies due to the intense reliance on human participation.
Innovation Solution
An image processing system that automates the conversion of high complexity 3D digital models into a pipeline-agnostic format by using virtual cameras to generate renders, UV texture coordinate spaces, and transfer lighting and non-lighting information, including ambient occlusion and normal vectors, to create a flexible and scalable model representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual re-modeling and re-shading is used to convert 3D digital assets between pipelines, then interoperability between studios and pipeline versions is achieved, but the process becomes labor-intensive, costly, and time-consuming
Solution Approach 1:
The patent creates a digital copy of the original 3D asset through automated pipeline conversion, capturing geometry, materials, and lighting information to reproduce the asset in a different pipeline environment without manual re-modeling
Solution Approach 2:
The patent replaces the manual mechanical process of re-modeling and re-shading with an automated computational system that uses software tools and algorithms to perform the conversion, eliminating human labor from the repetitive tasks
2Adaptability or versatility
If manual re-modeling and re-shading is used to convert 3D digital assets, then asset interoperability is achieved, but the process is prone to inaccuracies and deviations from original art direction
Solution Approach 1:
The automated conversion process creates an accurate digital copy of the original asset by systematically capturing and transferring geometry, materials, and lighting data, preserving the original art direction without human interpretation errors
Solution Approach 2:
The patent implements feedback mechanisms where the converted asset is compared against the original to ensure accuracy, allowing for verification and correction of any deviations from the source material
3Manufacturing precision
If proprietary renderer engines and custom pipelines are used to produce final renders, then visual quality and artistic control are improved, but interoperability between different studios and pipeline versions deteriorates
Solution Approach 1:
The patent creates a universal conversion system that can handle assets from different proprietary pipelines and render engines, making them compatible with multiple target platforms while preserving the visual quality achieved in the original pipeline
Solution Approach 2:
The patent introduces an intermediary conversion process that acts as a bridge between proprietary source pipelines and target platforms, translating assets through a standardized intermediate representation that maintains quality while enabling interoperability
4Adaptability or versatility
If assets are converted to pipeline-agnostic format with reduced representation, then interoperability and scalability are improved, but some lighting and surface information may be lost
Solution Approach 1:
The patent extracts essential lighting and surface information from the original asset during conversion, separating critical visual data that can be preserved in the pipeline-agnostic format while removing redundant or pipeline-specific elements
Data Source
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AI summary
An image processing system includes a computing platform having processing hardware, a display, and a system memory storing a software code. The processing hardware is configured to execute the software code to receive a three-dimensional (3D) digital model, surround the 3D digital model with multiple virtual cameras oriented toward the 3D digital model, and generate, using the virtual cameras, a multiple renders of the 3D digital model. The processing hardware is further configured to execute the software code to generate a UV texture coordinate space for a surface projection of the 3D digital model, and to transfer, using the multiple renders, lighting color values for each of multiple surface portions of the 3D digital model to the UV texture coordinate space.