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:
Nov. 05, 2024

Filed:

Feb. 09, 2022
Applicant:

Carnegie Mellon University, Pittsburgh, PA (US);

Inventors:

Yutong Zheng, Pittsburgh, PA (US);

Marios Savvides, Pittsburgh, PA (US);

Yu Kai Huang, Pittsburgh, PA (US);

Assignee:

Carnegie Mellon University, Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/60 (2006.01); G06T 9/00 (2006.01); G06V 10/44 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06T 9/00 (2013.01); G06V 10/44 (2022.01); G06V 40/171 (2022.01);
Abstract

Disclosed herein is a method to disentangle linear-encoded facial semantics from facial images without external supervision. The method uses linear regression and sparse representation learning concepts to make the disentangled latent representations easily interpreted and manipulated. Generated facial images are decomposed into multiple semantic features and latent representations are extracted to capture interpretable facial semantics. The semantic features may be manipulated to synthesize photorealistic facial images by sampling along vectors representing the semantic features, thereby changing the associate semantics.


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