Don’t Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance

Author:

Liu Shiwei,Tian Yuesong,Chen Tianlong,Shen LiORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference68 articles.

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2. Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017). Unpaired image-to-image translation using cycle-consistent adversarial networks. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2223–2232).

3. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein generative adversarial networks. In International Conference on Machine Learning (pp. 214–223). PMLR.

4. Miyato, T., Kataoka, T., Koyama, M., & Yoshida, Y. (2018). Spectral normalization for generative adversarial networks. arXiv preprint arXiv:1802.05957.

5. Miyato, T., & Koyama, M. (2018). CGANS with projection discriminator. arXiv preprint arXiv:1802.05637.

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