FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
文章用于生成不同年龄的图片,采用的模型是条件对抗网络,主要创新点是,首先通过一个网络,提取图像特征向量,并通过身份保持网络,优化图像的特征向量,特到特征向量 z∗ ,之后便可以对于每个输入年龄,查找其年龄向量,并将该年龄向量与输入图片特征向量 z∗ 串联,输入生成网络,生成目标年龄图片. 特征向量优化网络结构如下, 网络的训练数据为,输入图像x,以及该图像的年龄 y0 ,对输入图像,将其输入Enc
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相关文章
- 1. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORK
- 2. Face Aging with Contextual Generative Adversarial Nets
- 3. Conditional Generative Adversarial Nets
- 4. Conditional Generative Adversarial Nets（CGAN）
- 5. Conditional Generative Adversarial Networks（CGAN）笔记
- 6. [GAN_papers]CGAN+Conditional Generative Adversarial Nets
- 7. C-GAN(2014):Conditional Generative Adversarial Nets
- 8. 论文阅读——《Conditional Generative Adversarial Nets》
- 9. [论文笔记]Improving Heterogeneous Face Recognition with Conditional Adversarial Networks
- 10. 《Conditional Generative Adversarial Nets》论文解析