Deep Identity-aware Transfer of Facial Attributes
網絡分爲兩部分,第一部分爲face transform network,得到生成圖像,該網絡還包括一個判別網絡用於判別輸入圖像的真假,以及一個VGG-Face Netowork,用於判別輸入圖像的性別,即identity loss. 利用face transform network得到的生成圖像比較模糊,因此將生成圖像輸入一個enhancement network,得到增強圖像. 網絡結構如下:
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相關文章
- 1. A Deep Face Identification Network Enhanced by Facial Attributes Prediction
- 2. [MM18]BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network
- 3. [Style Transfer]——Deep Photo Style Transfer
- 4. Deep photo style transfer
- 5. Deep Facial Expression Recognition: A Survey
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- 7. Deep learning approach for facial age classification: a survey of the state‑of‑the‑art 論文閱讀
- 8. Arbitrary Style Transfer with Deep Feature Reshuffle
- 9. Facial Landmark Detection by Deep Multi-task Learning-筆記
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