paper：Conditional Generative Adversarial Nets
主要內容：原始的GAN是無監督的，本文想通過添加額外的信息y，來增加模型的能力，想法很直接，實現也很簡單，應該是最早的一篇向GAN添加y的paper。 重要句子： Adversarial nets have the advantages that Markov chains are never needed, only backpropagation is used to obtain gradi
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相關文章
- 1. Conditional Generative Adversarial Nets
- 2. Generative Adversarial Nets（譯）
- 3. Generative Adversarial Nets[CycleGAN]
- 4. Generative Adversarial Nets
- 5. cGAN:Conditional 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