...Chenxi Yuan; Tucker Marion; Mohsen Moghaddam Generative adversarial networks (GANs) have shown remarkable success in various generative design tasks, from topology optimization to material design, and shape parametrization. However, most generative design approaches based on GANs lack evaluation...

... that exploits the knowledge transfer capability of the transfer learning methods and the generative power of conditional generative adversarial networks (GANs). We show that the proposed framework significantly exceeds the generalization ability of current methods. Moreover, the proposed architecture is capable...

... generative models generative adversarial networks design automation design methodology design optimization expert systems product design Artificial intelligence (AI) covers all technologies pursuing machines to imitate human behavior. Machine learning is a subset of AI, which attempts to learn...