cGAN:Conditional Generative Adversarial Nets
論文閱讀之cGAN:Conditional Generative Adversarial Nets #Abstract 本文提出了條件-生成對抗網絡（Conditional-GAN),Generator和Discriminator的輸入數據除了隨機噪聲外還多了標籤y，從而可以通過GAN生成不同class label的圖像，用於更好的引導單模態圖像生成以及多模態學習下的生成圖像標籤等。
#
相關文章
- 1. Conditional Generative Adversarial Nets
- 2. Generative Adversarial Nets（譯）
- 3. paper：Conditional Generative Adversarial Nets
- 4. Generative Adversarial Nets[CycleGAN]
- 5. Generative Adversarial Nets
- 6. Generative Adversarial Nets[pix2pix]
- 7. Generative Adversarial Nets (譯)
- 8. Generative Adversarial Nets[BEGAN]
- 9. Generative Adversarial Nets(GAN Tensorflow)
- 10. [GAN_papers]GAN+Generative Adversarial Nets
- 更多相關文章...
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Conditional Generative Adversarial Nets
- 2. Generative Adversarial Nets（譯）
- 3. paper：Conditional Generative Adversarial Nets
- 4. Generative Adversarial Nets[CycleGAN]
- 5. Generative Adversarial Nets
- 6. Generative Adversarial Nets[pix2pix]
- 7. Generative Adversarial Nets (譯)
- 8. Generative Adversarial Nets[BEGAN]
- 9. Generative Adversarial Nets(GAN Tensorflow)
- 10. [GAN_papers]GAN+Generative Adversarial Nets