[解读] ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
链接: https://arxiv.org/abs/1809.03627v2 ClusterGAN 是一个 GAN 的变体, 通过使得生成样本反推的隐变量在隐空间中具有明显的簇的特征, 来提升 GAN 的性能. 相关工作 InfoGAN [4] 是一个研究在隐空间中进行可解释性的表征学习的开创新方法, 目标是创建可解释性的和可解的隐变量. 虽然 InfoGAN 使用了离散的隐变量, 但它不是为聚类
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相关文章
- 1. Graphical Generative Adversarial Networks
- 2. [解读] Coupled Generative Adversarial Networks
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- 6. [Style Transfer]—Generative adversarial networks and adversarial method in biomedical image analysis
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