Patent ID: 11948314
Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. The system of claim 16, wherein iteratively updating, based on the plurality of groups of training samples, the parameter values of the preliminary generative model includes performing an iterative process, and for each iteration of the iterative process,
retrieving a group of training samples from the plurality of groups of training samples;
generating a sample intermediate image by inputting a sample input image of the group of training samples into the preliminary generative model or an intermediate generative model generated in a prior iteration;
determining a value of a cost function based on the first trained discriminative model, and the second trained discriminative model, the group of training samples, and the sample intermediate image; and
in response to a determination that the value of the cost function does not satisfy a preset condition, updating the preliminary generative model or the intermediate generative model by updating at least some of the parameter values of the preliminary generative model or the intermediate generative model generated in a prior iteration.