Real-time rendering with implicit shapes
US11335056B1 · kind B1 · utility
1Cited by
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20Claims
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Key dates
| Filing date | May 7, 2021 |
| Grant date | May 17, 2022 |
| Priority date | — |
| Expiry date | May 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/36
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are described for rendering complex surfaces or geometry. In at least one embodiment, neural signed distance functions (SDFs) can be used that efficiently capture multiple levels of detail (LODs), and that can be used to reconstruct multi-dimensional geometry or surfaces with high image quality. An example architecture can represent complex shapes in a compressed format with high visual fidelity, and can generalize across different geometries from a single learned example. Extremely small multi-layer perceptrons (MLPs) can be used with an octree-based feature representation for the learned neural SDFs.
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