DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 论文解读
这是一篇CVPR 2019的一篇文章，思想简单，但是实验结果是真的简单，服！服！服！！！（但是我为什么想不到呢？我太菜）。文章中介绍了很多模块，也介绍了文章idea的来源，为此我还看了相关的Memory Networks及各种变形（对理解本篇DM-GAN其实用处不大，但是这些论文挺好的，推荐一看。） 论文: https://arxiv.org/abs/1904.01310?context=cs.
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相关文章
- 1. Generative Adversarial Text to Image Synthesis 论文解读
- 2. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- 3. Self-Attention Generative Adversarial Networks 论文解读
- 4. [解读] Coupled Generative Adversarial Networks
- 5. GAN系列：论文阅读——MSGAN(Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis)
- 6. Generative Adversarial Text to Image Synthesis
- 7. 【论文阅读】CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 8. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 9. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
- 10. [Style Transfer]——Blood Vessel Geometry Synthesis using Generative Adversarial Networks