Patent ID: 11887233
Assignee: DIGITAL DOMAIN VIRTUAL HUMAN (US), INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A method for training a neural network to simulate deformations of a surface of a CG character, the method comprising:
(a) receiving training data comprising training poses and, for each training pose, a plurality of sets of training blendshape weights, each set of blendshape weights corresponding to a region of the surface of the CG character; and
for each region:
(b) employing an untrained or partially trained neural network comprising a plurality of trainable parameters to predict blendshape weights based on one of the plurality of training poses;
(c) determining an error metric, the error metric based at least in part on the predicted blendshape weights and the set of training blendshape weights corresponding to the region and the one of the plurality of training poses;
(d) updating the trainable parameters of the neural network based at least in part on the error metric;
(e) evaluating a loop exit criteria and:
if the loop exit criteria is satisfied, proceeding to step (f); or
if the loop exit criteria is not satisfied, repeating steps (b), (c), (d) and (e) with a different one of the plurality of training poses; and

(f) parameterizing the trained neural network based on at least in part on the updated trainable parameters after the last iteration of step (d).