Improving generative adversarial networks with simple latent distributions

Author:

Zhang Shufei,Huang KaizhuORCID,Qian Zhuang,Zhang Rui,Hussain Amir

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference38 articles.

1. Adler J, Lunz S (2018) Banach wasserstein gan. In: Advances in neural information processing systems, pp 6754–6763

2. Alam M, Vidyaratne L, Iftekharuddin KM (2018) Novel deep generative simultaneous recurrent model for efficient representation learning. In: Neural networks, Elsevier, vol 107, pp 12–22

3. Arjovsky M, Chintala S, Bottou, L (2017) Wasserstein generative adversarial networks. In: International conference on machine learning, pp 214–223

4. Berthelot D, Schumm T, Metz L (2017) Began: boundary equilibrium generative adversarial networks. Preprint arXiv:1703.10717

5. Brock A, Donahue J, Simonyan K (2018) Large scale gan training for high fidelity natural image synthesis. Preprint arXiv:1809.11096

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