US 11,721,007 B2
Facial image editing and enhancement using a personalized prior
Kfir Aberman, San Mateo, CA (US); Yotam Nitzan, Tel Aviv (IL); Orly Liba, Palo Alto, CA (US); Yael Pritch Knaan, Tel Aviv (IL); Qiurui He, Sunnyvale, CA (US); Inbar Mosseri, Raanana (IL); Yossi Gandelsman, Berkeley, CA (US); and Michal Yarom, Shoham (IL)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Nov. 8, 2022, as Appl. No. 17/982,842.
Application 17/982,842 is a continuation of application No. PCT/US2022/011807, filed on Jan. 10, 2022.
Prior Publication US 2023/0222636 A1, Jul. 13, 2023
Int. Cl. G06T 5/00 (2006.01); G06T 5/50 (2006.01); G06T 3/40 (2006.01)
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
OG exemplary drawing
 
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.