The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 30, 2023

Filed:

Jul. 28, 2021
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/214 (2023.01); G06V 10/74 (2022.01); G06V 10/776 (2022.01);
U.S. Cl.
CPC ...
G06F 18/217 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06V 10/74 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01);
Abstract

The disclosure generally relates to methods and systems for generating synthetic microstructure images of a material with desired features. Conventional techniques that make use of unsupervised deep generative models has no control on the generated microstructure images with specific, desired set of features. The present disclosure generates the synthetic microstructure images of the material with desired feature, by using a variational autoencoder defined with a style loss function. In the first step, the variational autoencoder is trained to learn latent representation of microstructure image of the material. In the second step, some of the dimensions of learned latent representation is interpreted as physically significant features. In the third and last step, the latent representation required for getting the desired features is appropriately sampled based on the interpretation to generate the synthetic microstructure images of the material with desired features.


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