Quaternion Generative Adversarial Networks

Author:

Grassucci Eleonora,Cicero Edoardo,Comminiello Danilo

Publisher

Springer International Publishing

Reference42 articles.

1. Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein GAN (2017). arXiv:1701.07875v3

2. Brock, A., Donahue, J., Simonyan, K.: Large scale GAN training for high fidelity natural image synthesis. In: International Conference on Learning Representations (ICLR) (2019)

3. Chen, T., Zhai, X., Ritter, M., Lucic, M., Houlsby, N.: Self-supervised GANs via auxiliary rotation loss. In: IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12146–12155 (2019)

4. Cheong Took, C., Mandic, D.P.: Augmented second-order statistics of quaternion random signals. Signal Process. 91(2), 214–224 (2011)

5. Chernov, V.: Discrete orthogonal transforms with data representation in composition algebras. In: Proceedings of the Scandinavian Conference on Image Analysis, pp. 357–364 (1995)

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