- EdgeConnect: Generative Image In
- 综述 An Introduction to Image Synt
- Generative Image Inpainting with
- Generative Image Inpainting with
- Generaing Digits with Pytorch
- GAN:Text to images
- 图像修复论文笔记:Generative Image Inpain
- Contextual Attention论文与源码解析与结果
- 【ML】Statistical Classification A
- Generative Adversarial Nets翻译[上]
- 目标:恢复被污染图片,并能较好地复原被破坏的细节
- 方法:
- 两阶段对抗网络:生成edge,补全图像
- 运用了感知损失、style损失(据说style损失可以削弱棋盘格现象)
- 应用:
- 去污(输入为被污染的图片+污染mask)
- 去眼镜(输入为原图+眼镜mask)
- ps掉路人(输入为原图+路人mask)
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fg1.png
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