Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks 类似于SAGAN的出发点，传统CNN仅仅考虑图像的局部信息，没有考虑全局范围内不同区域的联系，而capsule是可以建模图像的空域相关性的，因此用capsule network代替CNN作为判别器，使生成的图像具有结构性。
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相关文章
- 1. Generative Adversarial Text to Image Synthesis
- 2. [Style Transfer]——Blood Vessel Geometry Synthesis using Generative Adversarial Networks
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- 10. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis