Patent · US Active

Rendering textured surface using surface-rendering neural networks

US11816779B2 · kind B2 · utility

1Cited by

0References

20Claims

0Family size

Assignees

Adobe Inc. · US
The Regents of the University of California · US

Inventors

Krishna Bhargava Mullia Lakshminarayana · San Francisco, US
Zexiang Xu · San Jose, US
Milos Hasan · Lafayette, US
Ravi Ramamoorthi · Carlsbad, US
Alexandr Kuznetsov · Ingolstadt, DE

Key dates

Filing date	Nov 30, 2021
Grant date	Nov 14, 2023
Priority date	—
Expiry date	Nov 30, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/088
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods and systems disclosed herein relate generally to surface-rendering neural networks to represent and render a variety of material appearances (e.g., textured surfaces) at different scales. The system includes receiving image metadata for a texel that includes position, incoming and outgoing radiance direction, and a kernel size. The system applies a offset-prediction neural network to the query to identify an offset coordinate for the texel. The system inputs the offset coordinate to a data structure to determine a feature vector for the texel of the textured surface. The reflectance feature vector is then processed using a decoder neural network to estimate a light-reflectance value of the texel, at which the light-reflectance value is used to render the texel of the textured surface.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.