SAGAN(Self-Attention Generative Adversarial Networks)论文解读附自己的理解

时间 2020-12-23

标签 DL/ML GAN SAGAN 繁體版

原文原文链接

Self-Attention Generative Adversarial Networks TensorFlow代码：https://github.com/taki0112/Self-Attention-GAN-Tensorflow Pytorch代码（作者源码）：https://github.com/heykeetae/Self-Attention-GAN 看论文之前看了两篇比较好的文章:ht

>>阅读原文<<

1. Self-Attention Generative Adversarial Networks 论文解读
2. SA-GAN - Self-Attention Generative Adversarial Networks 论文解读（附代码）
3. [解读] Coupled Generative Adversarial Networks
4. Generative Adversarial Text to Image Synthesis 论文解读
5. 论文解读《Enhancing Underwater Imagery using Generative Adversarial Networks》
6. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 论文解读
7. StackGAN++: Realistic Image Synthesiswith Stacked Generative Adversarial Networks 论文解读
8. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 论文解读
9. Stack GAN:Text to Photo-realistic Image Synthesiswith Stacked Generative Adversarial Networks 论文解读
10. [解读] ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
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1. Self-Attention Generative Adversarial Networks 论文解读
2. SA-GAN - Self-Attention Generative Adversarial Networks 论文解读（附代码）
3. [解读] Coupled Generative Adversarial Networks
4. Generative Adversarial Text to Image Synthesis 论文解读
5. 论文解读《Enhancing Underwater Imagery using Generative Adversarial Networks》
6. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 论文解读
7. StackGAN++: Realistic Image Synthesiswith Stacked Generative Adversarial Networks 论文解读
8. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 论文解读
9. Stack GAN:Text to Photo-realistic Image Synthesiswith Stacked Generative Adversarial Networks 论文解读
10. [解读] ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

>>更多相关文章<<