Patent · US Active

Extracting material properties from a single image

US10810469B2 · kind B2 · utility

3Cited by

0References

20Claims

0Family size

Assignee

Adobe Inc. · US

Inventors

Kalyan Sunkavalli · San Jose, US
Zhengqin Li · San Diego, US
Manmohan Chandraker · Santa Clara, US

Key dates

Filing date	May 9, 2018
Grant date	Oct 20, 2020
Priority date	—
Expiry date	Dec 5, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems, methods, and non-transitory computer-readable media are disclosed for extracting material properties from a single digital image portraying one or more materials by utilizing a neural network encoder, a neural network material classifier, and one or more neural network material property decoders. In particular, in one or more embodiments, the disclosed systems and methods train the neural network encoder, the neural network material classifier, and one or more neural network material property decoders to accurately extract material properties from a single digital image portraying one or more materials. Furthermore, in one or more embodiments, the disclosed systems and methods train and utilize a rendering layer to generate model images from the extracted material properties.

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