Towards a Generalized System for Generative Engineering

Author:

Nagaraj Deepak1,Werth Dirk1

Affiliation:

1. AWS-Institute for Digitized Products and Processes, Saarbrücken, Saarland, Germany

Publisher

ACM

Reference35 articles.

1. Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein GAN. arXiv:stat.ML/1701.07875 Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein GAN. arXiv:stat.ML/1701.07875

2. Piotr Bojanowski Armand Joulin David Lopez-Paz and Arthur Szlam. 2017. Optimizing the Latent Space of Generative Networks. ArXiv abs/1707.05776 (2017). Piotr Bojanowski Armand Joulin David Lopez-Paz and Arthur Szlam. 2017. Optimizing the Latent Space of Generative Networks. ArXiv abs/1707.05776 (2017).

3. Andrew Brock Theodore Lim J. M. Ritchie and Nick Weston. 2016. Generative and Discriminative Voxel Modeling with Convolutional Neural Networks. arXiv:cs.CV/1608.04236 Andrew Brock Theodore Lim J. M. Ritchie and Nick Weston. 2016. Generative and Discriminative Voxel Modeling with Convolutional Neural Networks. arXiv:cs.CV/1608.04236

4. Wei Chen and Mark Fuge. 2018. BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters. ArXiv abs/1808.08871 (2018). Wei Chen and Mark Fuge. 2018. BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters. ArXiv abs/1808.08871 (2018).

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