Patent ID: 11957976
Assignee: ELECTRONIC ARTS INC.
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 7:
8. A computer-implemented method of training a machine-learning model for predicting an appearance of a deformable object in a video game, the method comprising:
performing one or more simulations of the deformable object overlying a moveable object, wherein the moveable object is in a particular configuration for each time step of a plurality of time steps of a simulation;
for each simulation of the one or more simulations:
generating one or more training examples for the simulation, wherein each training example comprises, for a particular time step of the simulation: (i) a representation of a configuration for the moveable object, (ii) a code for mesh data for the deformable object, and (iii) a code for texture data for the deformable object; and

updating parameters of the machine-learning model, comprising for each of one or more training examples:
inputting, into the machine-learning model, input data for the training example, the input data comprising the representation of the configuration of the moveable object;
generating, as output of the machine-learning model, a model output including both a code for a predicted normal map and a code for a predicted mesh for predicting the appearance of the deformable object; and
updating parameters of the machine-learning model based on a comparison of the model output for the training example with both: (i) the code for the mesh data, and (ii) the code for the texture data.