Fiber Asset Light Transport Compression for Real-Time Relighting
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Solution Overview
Problem
Conventional path tracing techniques for rendering fiber-based digital assets are computationally expensive and not suitable for real-time applications due to the complexity of light interactions, leading to inefficient use of processing resources and unsatisfactory visual quality.
Innovation Solution
A content processing system generates a compressed representation of fiber-based digital assets that includes a precomputed light transport, using a neural network with a feature grid and MLP, allowing for efficient relighting under varying lighting and view conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional path tracing techniques are used to render fiber-based digital assets, then high fidelity light interaction representations are achieved, but computational expense and processing time increase significantly
Solution Approach 1:
The patent precomputes light transport properties for fiber-based digital assets before runtime rendering. By calculating and storing light interaction data in advance (including bidirectional scattering distribution functions and light transport matrices), the system avoids performing expensive path tracing calculations during real-time or interactive rendering, thus resolving the contradiction between high fidelity light interaction representation and rendering efficiency
Solution Approach 2:
The patent creates compressed representations that copy and store precomputed light transport data in a compact format. Instead of recalculating light interactions during rendering, the system uses these compressed copies of light transport information to rapidly generate realistic fiber asset renderings, maintaining fidelity while dramatically improving rendering speed
2Measurement precision
If conventional path tracing techniques are used for real-time applications, then high fidelity digital object representations are generated, but processing resource consumption becomes unsustainable
Solution Approach 1:
The system performs light transport precomputation during an offline preparation phase, moving the computationally intensive work away from real-time processing. The precomputed light transport data is then reused during rendering, dramatically reducing processing resource consumption while maintaining high fidelity representations suitable for real-time applications
Solution Approach 2:
The patent creates compressed representations that copy essential light transport properties into a compact data structure. These compressed copies enable rapid access and reuse of light interaction information without requiring expensive real-time path tracing calculations, thus reducing processing resource consumption while preserving representation fidelity
3Productivity
If precomputed light transport is used in compressed representations, then rendering speed improves for real-time applications, but the complexity of the representation system increases
Solution Approach 1:
The patent copies light transport information into a compressed representation format that balances detail and efficiency. By selectively storing only the most important light interaction properties in a compact structure, the system achieves fast rendering performance while avoiding the full complexity of conventional path tracing pipelines
Solution Approach 2:
The system transforms light transport data into different parameter representations suitable for compressed storage and rapid evaluation. By changing the mathematical parameters from full path tracing formulations to precomputed matrices and lookup tables, the system simplifies the representation while maintaining rendering accuracy and speed
Data Source
AI summary
Techniques for generation of compressed representations for appearance of fiber-based digital assets are described that support computationally efficient and high fidelity rendering of digital assets that include fiber primitives under a variety of lighting conditions and view directions. A processing device, for instance, receives a digital asset that includes fiber primitives to be included in a three-dimensional digital scene. The processing device generates a compressed representation of the digital asset that maintains a geometry of the digital asset and includes a precomputed light transport. The processing device then inserts the compressed representation into the digital scene, such as at a location relative to one or more light sources. The processing device applies one or more lighting effects to the compressed representation based on the precomputed light transport and the location relative to the one or more light sources.