VAE/GAN学习笔记:Autoencoding beyond pixels using a learned similarity metric
paper：VAE/GAN 0、摘要 我们提供了一个自动编码器，它利用学习的表示来更好地度量数据空间地相似性。通过将变分自编码器与生成对抗网络相结合，我们可以利用GAN鉴别器中的学习特征表示作为VAE重建目标的基础。因此，我们将元素方面的错误替换为特征方面的错误，以便更好地捕获数据分布，同时提供对例如翻译的不变性对。我们将我们的方法应用到人脸图像上，并证明它在视觉逼真度方面比VAEs表现得更好。此
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相关文章
- 1. Learning a Similarity Metric Discriminatively, with Application to Face Verification
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