Deep Identity-aware Transfer of Facial Attributes
网络分为两部分,第一部分为face transform network,得到生成图像,该网络还包括一个判别网络用于判别输入图像的真假,以及一个VGG-Face Netowork,用于判别输入图像的性别,即identity loss. 利用face transform network得到的生成图像比较模糊,因此将生成图像输入一个enhancement network,得到增强图像. 网络结构如下:
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相关文章
- 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
- 6. Deep Covariance Descriptors for Facial Expression Recognition
- 7. Deep learning approach for facial age classification: a survey of the state‑of‑the‑art 论文阅读
- 8. Arbitrary Style Transfer with Deep Feature Reshuffle
- 9. Facial Landmark Detection by Deep Multi-task Learning-笔记
- 10. Research of the Image Recognition , Facial Recognition and YOLO algorithm.