論文筆記：Generative Semantic Manipulation with Mask-Contrasting GAN
主要內容 本文提出了可以對圖片物體進行語義改變從而在幾乎不改變物體形狀、視角等信息的情況下，進行不同類別的物體替換。本文中的Mask-Contrasting GAN應用了一個conditional generator 、多個針對單個類別物體判斷的判別器以及一個全局判別器（用於判斷修改物體和背景是否和諧），使用contrasting objective、略作修改的標準GAN的objective以及c
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相關文章
- 1. 《High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs》論文筆記
- 2. Deep Semantic Hashing with Generative Adversarial Networks 論文review（翻譯）
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