Patent ID: 11907850
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. The system of claim 11, wherein the operations further comprise:
obtaining a target training image in the target domain;
selecting, from the target training image, a first target patch and a second target patch each representative of respective portions of the target training image;
translating, using a backward generator neural network, the target training image to a translated source image in the source domain according to parameters of the backward generator neural network, the translated source image comprising a third target patch and a fourth target patch each representative of respective portions of the translated source image, the third target patch and the fourth target patch of the translated source image corresponding to the first target patch and the second target patch of the target training image;
determining a third energy distance between the first target patch and the second target patch of the target training image;
determining a fourth energy distance between the third target patch and the fourth target patch of the translated source image;
generating a second harmonic loss based on the third energy distance and the fourth energy distance; and
updating, using the second harmonic loss, the parameters of the backward generator neural network.