AE-OT-GAN: Training GANs from Data Specific Latent Distribution-Reference-Cited by-同舟云学术

AE-OT-GAN: Training GANs from Data Specific Latent Distribution

Published:2020 Issue: Volume: Page:548-564
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020
language:
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Author:

An Dongsheng,Guo Yang,Zhang Min,Qi Xin,Lei Na,Gu Xianfang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58574-7_33

Reference44 articles.

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2. An, D., Guo, Y., Lei, N., Luo, Z., Yau, S.T., Gu, X.: Ae-ot: a new generative model based on extended semi-discrete optimal transport. In: International Conference on Learning Representations (2020)

3. Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: ICML. pp, 214–223 (2017)

4. Burda, Y., Grosse, R., Salakhutdinov, R.: Importance weighted autoencoders. In: ICML (2015)

5. Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: Infogan: interpretable representation learning by information maximizing generative adversarial nets. In: Advances in Neural Information Processing Systems (2016)

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