Semi-supervised FusedGAN for Conditional Image Generation-Reference-Cited by-同舟云学术

Semi-supervised FusedGAN for Conditional Image Generation

Published:2018 Issue: Volume: Page:689-704
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2018
language:
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Author:

Bodla Navaneeth,Hua Gang,Chellappa Rama

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01228-1_41

Reference20 articles.

1. Dai, B., Lin, D., Urtasun, R., Fidler, S.: Towards diverse and natural image descriptions via a conditional GAN. arXiv preprint arXiv:1703.06029 (2017)

2. Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2672–2680 (2014)

3. Gregor, K., Danihelka, I., Graves, A., Rezende, D.J., Wierstra, D.: Draw: a recurrent neural network for image generation. arXiv preprint arXiv:1502.04623 (2015)

4. Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.: Improved training of wasserstein GANs. arXiv preprint arXiv:1704.00028 (2017)

5. Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. arXiv (2016)

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