[1] Deep convolutional generative adversarial network nbsp;: nbsp; tensorflow core. 5
[2] I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. Generative adversarial networks, 2014. 1, 2, 8
[3] J. Islam and Y. Zhang. Gan-based synthetic brain pet image generation. Brain Informatics, 7, 03 2020. 2
[4] T. Karras, S. Laine, and T. Aila. A style-based generator architecture for generative adversarial networks. CoRR, abs/1812.04948, 2018. 2, 3
[5] T. Karras, S. Laine, and T. Aila. A style-based generator architecture for generative adversarial networks. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 4396–4405, 2019. 1
[6] B. Li, Y. Zhu, Y. Wang, C.-W. Lin, B. Ghanem, and L. Shen. Anigan: Style-guided generative adversarial networks for unsupervised anime face generation, 2021. 3, 7
[7] A. Radford, L. Metz, and S. Chintala. Unsupervised representation learning with deep convolutional generative adversarial networks, 2016. 3, 4
[8] F. Rashad. Generating anime characters with stylegan2, Oct 2020. 4