VAE/GAN學習筆記:Autoencoding beyond pixels using a learned similarity metric
paper：VAE/GAN 0、摘要 我們提供了一個自動編碼器，它利用學習的表示來更好地度量數據空間地相似性。通過將變分自編碼器與生成對抗網絡相結合，我們可以利用GAN鑑別器中的學習特徵表示作爲VAE重建目標的基礎。因此，我們將元素方面的錯誤替換爲特徵方面的錯誤，以便更好地捕獲數據分佈，同時提供對例如翻譯的不變性對。我們將我們的方法應用到人臉圖像上，並證明它在視覺逼真度方面比VAEs表現得更好。此
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相關文章
- 1. Learning a Similarity Metric Discriminatively, with Application to Face Verification
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