Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks 類似於SAGAN的出發點，傳統CNN僅僅考慮圖像的局部信息，沒有考慮全局範圍內不同區域的聯繫，而capsule是可以建模圖像的空域相關性的，因此用capsule network代替CNN作爲判別器，使生成的圖像具有結構性。
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相關文章
- 1. Generative Adversarial Text to Image Synthesis
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