SAGAN(Self-Attention Generative Adversarial Networks)論文解讀附自己的理解
Self-Attention Generative Adversarial Networks TensorFlow代碼：https://github.com/taki0112/Self-Attention-GAN-Tensorflow Pytorch代碼（作者源碼）：https://github.com/heykeetae/Self-Attention-GAN 看論文之前看了兩篇比較好的文章:ht
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相關文章
- 1. Self-Attention Generative Adversarial Networks 論文解讀
- 2. SA-GAN - Self-Attention Generative Adversarial Networks 論文解讀（附代碼）
- 3. [解讀] Coupled Generative Adversarial Networks
- 4. Generative Adversarial Text to Image Synthesis 論文解讀
- 5. 論文解讀《Enhancing Underwater Imagery using Generative Adversarial Networks》
- 6. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 論文解讀
- 7. StackGAN++: Realistic Image Synthesiswith Stacked Generative Adversarial Networks 論文解讀
- 8. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 論文解讀
- 9. Stack GAN:Text to Photo-realistic Image Synthesiswith Stacked Generative Adversarial Networks 論文解讀
- 10. [解讀] ClusterGAN : Latent Space Clustering in Generative Adversarial Networks