CPC G06T 5/50 (2013.01) [G06T 3/40 (2013.01); G06T 5/001 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] | 22 Claims |
1. A computer-implemented method, comprising:
for each given image of a set of images of a subject, testing a plurality of codes, using one or more processors of a processing system, to identify an optimized code for the given image, comprising:
for each code of the plurality of codes:
generating a first image using a generative model and the code; and
comparing, using the one or more processors, the first image to the given image to generate a first loss value for the code; and
comparing, using the one or more processors, the first loss value generated for each code of the plurality of codes to identify the code having a lowest first loss value as the optimized code for the given image; and
generating, using the one or more processors, a personalized prior for the subject based on a convex hull including each optimized code identified for each given image of the set of images of the subject.
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