[解讀] Coupled Generative Adversarial Networks
論文鏈接: https://arxiv.org/abs/1606.07536v2 Github 項目地址: https://github.com/mingyuliutw/cogan 本文提出耦合的生成對抗網絡(CoGAN), 以學習多域圖像的聯合分佈. 與現有方法不同, 後者需要訓練集中不同域中對應圖像的元組, 而 CoGAN 可以學習聯合分佈而無需任何對應圖像的元組. 它可以僅從邊際分佈中抽取樣
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相關文章
- 1. Triangle Generative Adversarial Networks
- 2. Graphical Generative Adversarial Networks
- 3. Contrastive Generative Adversarial Networks
- 4. [解讀] ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
- 5. Self-Attention Generative Adversarial Networks 論文解讀
- 6. 論文筆記：Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
- 7. Generative Adversarial Networks overview（2）
- 8. Generative Adversarial Networks overview（1）
- 9. Generative Adversarial Networks overview（4）
- 10. Self-Attention Generative Adversarial Networks