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Generative attribute optimization

Patent ·
OSTI ID:1925069
; ; ;

A generative attribute optimization (“GAO”) system facilitates understanding of effects of changes of attribute values of an object on a characteristic of the object and automatically identifying attribute values to achieve a desired result for the characteristic. The GAO system trains a generator (encoder and decoder) using an attribute generative adversarial network. The GAO model includes the trained generator and a separately trained predictor model. The GAO model inputs an input image and modified attribute values and employs the encoder and the decoder to generate a modified image that is the input image modified based on the modified attribute values. The GAO model then employs the predictor model to that inputs the modified image and generate a prediction of a characteristic of the modified image. The GAO system may employ an optimizer to modify the attribute values until an objective based on the desired result is achieved.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC52-07NA27344
Assignee:
Lawrence Livermore National Security, LLC (Livermore, CA)
Patent Number(s):
11,436,427
Application Number:
16/807,006
OSTI ID:
1925069
Country of Publication:
United States
Language:
English

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Related Subjects

97 MATHEMATICS AND COMPUTING