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DCGAN-WGAN

使用DCGAN结构结合WGAN损失函数在CelebA数据集上训练生成人脸

  • WGAN训练300个epoch

    image-20220310232838902

image-20220310232909151

分别是第0,100,200,299个epoch时生成器G输出的结果

image-20220310233135581 image-20220310233414127

image-20220310233458534image-20220310233552834

参考资料

[1] https://github.com/pytorch/examples/blob/main/dcgan/main.py

[2] https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html

[3] https://blog.csdn.net/qq_37395293/article/details/103112721

[4] Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets[J]. Advances in neural information processing systems, 2014, 27.

[5] Radford A, Metz L, Chintala S. Unsupervised representation learning with deep convolutional generative adversarial networks[J]. arXiv preprint arXiv:1511.06434, 2015.

[6] Arjovsky M, Chintala S, Bottou L. Wasserstein generative adversarial networks[C]//International conference on machine learning. PMLR, 2017: 214-223.

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