Deep Feature Consistent Variational Autoencoder

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Hou, Xianxu; Shen, Linlin; Sun, Ke; Qiu, Guoping;
  • Subject: Computer Science - Computer Vision and Pattern Recognition

We present a novel method for constructing Variational Autoencoder (VAE). Instead of using pixel-by-pixel loss, we enforce deep feature consistency between the input and the output of a VAE, which ensures the VAE's output to preserve the spatial correlation characterist... View more
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