Patent ID: 11972052
Assignee: UNIVERSITY OF SOUTHERN CALIFORNIA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A non-transitory computer-readable medium comprising instructions stored therein that, when executed by one or more processors, cause operations comprising:
training, based on training data associated with textures of materials, a texture model generator to map a set of latent variables to texture models; and
performing, via the texture model generator, a texture search by an algorithm configured to search a desired texture through evolving latent variables to a desired region in a latent space,
wherein the texture model generator is a deep convolutional generative adversarial network (DCGAN), and
wherein the DCGAN includes a first group of multi-layer perceptrons as a generator G to map the set of the latent variables to the texture models, and a second group of multi-layer perceptrons as a discriminator D to judge whether the texture model generated by the generator G is accurate based on a comparison with a reference texture model.