SAGAN(Self-Attention Generative Adversarial Networks)论文笔记
论文链接：Self-Attention Generative Adversarial Networks 这篇论文是将自注意力机制引入生成对抗网络用于图像生成任务。 摘要： 这篇论文，作者提出了自注意力生成对抗网络(SAGAN)来建模像素间的远距离关系，用于图像生成任务。传统的生成对抗网络(GAN)生成高分辨率图像的细节仅仅利用了低分辨率特征图的局部空间信息。在SAGAN，会利用特征图上所有的位置信
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相关文章
- 1. [论文笔记]Self-Attention Generative Adversarial Networks
- 2. Generative Adversarial Nets论文笔记
- 3. 论文笔记：Generative Adversarial Nets
- 4. Conditional Generative Adversarial Networks（CGAN）笔记
- 5. 论文译文《ANOMALY DETECTION WITH GENERATIVE ADVERSARIAL NETWORKS》
- 6. Self-Attention Generative Adversarial Networks 论文解读
- 7. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks论文笔记
- 8. 论文笔记：Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
- 9. 论文笔记--CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
- 10. 论文阅读笔记《Generative Adversarial Residual Pairwise Networks for One Shot Learning 》