US 12,190,233 B2
Data style transformation with adversarial models
Christian Schäfer, Berlin (DE); and Florian Kuhlmann, Berlin (DE)
Assigned to LEVERTON HOLDING LLC, Solon, OH (US)
Filed by LEVERTON HOLDING LLC, Solon, OH (US)
Filed on Dec. 3, 2020, as Appl. No. 17/111,072.
Claims priority of provisional application 62/942,872, filed on Dec. 3, 2019.
Prior Publication US 2021/0166125 A1, Jun. 3, 2021
Int. Cl. G06N 3/08 (2023.01); G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06V 20/62 (2022.01); G06V 30/19 (2022.01); G06V 30/413 (2022.01); G06V 30/10 (2022.01)
CPC G06N 3/08 (2013.01) [G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06V 20/62 (2022.01); G06V 30/19013 (2022.01); G06V 30/19147 (2022.01); G06V 30/413 (2022.01); G06V 30/10 (2022.01)] 29 Claims
OG exemplary drawing
 
1. A system comprising:
a processor; and
a memory storing instructions which, when executed by the processor, cause the processor to implement:
a generator model configured to receive data in a first style and generate converted data in a second style;
a discriminator model configured to receive the converted data from the generator model, compare the converted data to original data in the second style, and compute a resemblance measure based on the comparison; and
a preserver model configured to receive the converted data from the generator model, recognize information within the converted data, and compute an information measure of the converted data based on a proportion of the converted data for which information is recognized,
wherein the generator model is trained to optimize the resemblance measure and the information measure.