[1] D P KINGMA, M WELLING. Auto-encoding variational Bayes. arXiv preprint.

[2] G HINTON, R SALAKHUTDINOV. Reducing the dimensionality of data with neural networks. Science, 313, 504-507(2006).

[3] I GOODFELLOW, J POUGET, M MIRZA et al. Generative adversarial nets, 2672-2680(2014).

[4] J DONAHUE, P KRAHENBUHL, T DARRELL. Adversarial feature learning(2017).

[5] A RADFORD, L METZ, S CHINTALA. Unsupervised representation learning with deep convolutional generative adversarial networks. Computer Science(2015).

[6] J Y ZHU, T PARK, P ISOLA et al. Unpaired image-to-image translation using cycle-consistent adversarial networks, 2242-2251(2017).

[7] X CHEN, Y DUAN, HOUTHOOFTR et al. InfoGAN:interpretable representation learning by information maximizing generative adversarial nets(2016).

[8] O UTKARSH, Y J LI, J W LU et al. Few-shot image generation via cross-domain correspondence, 10743-10752(2021).

[9] R LIU, Y X GE, L C CHING et al. DivCo: diverse conditional image synthesis via contrastive generative adversarial network, 16377-16386(2021).

[10] J Y GUO, B LEI, C B DING et al. Synthetic aperture radar image synthesis by using generative adversarial nets. IEEE Geoscience and Remote Sensing Letters, 14, 1111-1115(2017).

[11] E D CUBUK, B ZOPH, D MANE et al. Auto augment: learning augmentation strategies from data, 113-123(2019).

[12] T KARRAS, S LAINE, T AILA. A style-based generator architecture for generative adversarial networks, 4401-4410(2019).

[13] H ZHANG, I GOODFELLOW, D METAXAS et al. Self-attention generative adversarial networks(2018).

[14] C ZHAO, R J SHUAI, L MA et al. Dermoscopy image classification based on StyleGAN and DenseNet201. IEEE Access, 8659-8679(2021).

[15] G RINON, C DANA, BAMIT et al. SWAGAN: a style-based WAvelet-driven generative model. arXiv preprint.

[16] G ISHAAN, A FARUK, A MARTIN et al. Improved training of wasserstein GANs. arXiv preprint.

[17] H MARTIN, R HUBERT, U THOMAS et al. GANs trained by a two time-scale update rule converge to a local nash equilibrium, 6629-6640(2017).

[18] Z WANG, A C BOVIK, R H SHEIKH et al. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing, 13, 600-612(2004).