invertible Conditional GANs for image editing
github代碼爲https://github.com/Guim3/IcGAN 通常GAN的生成網絡輸入爲一個噪聲向量z,文獻的創新點是,利用一個encoder網絡,對輸入圖像提取得到一個特徵向量z,將特徵向量z,以及需要轉換的目標attribute向量y串聯輸入生成網絡,得到生成圖像,網絡結構如下, 如上圖所示,包括連個encoder網絡,分別爲 Ez,Ey , Ez 用於將輸入圖像編碼爲特徵向
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相關文章
- 1. [Style Transfer]——GANs for Medical Image Analysis
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