Image-to-Image Translation with Conditional Adversarial Networks_201611
2018-01-05 11:00
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P Isola, JY Zhu, T Zhou, AA Efros - arXiv preprint arXiv:1611.07004, 2016 - arxiv.org
被引用次数:349 https://arxiv.org/pdf/1611.07004
pytorch实现:https://github.com/sunshineatnoon/Paper-Implementations
图1:图像处理,图形和视觉中的许多问题就是把一幅输入图像转换为输出图像。在每一个情形下,我们使用相同的结构和目标,并且简单地训练在不同的数据上。
图4:说明了不同的loss损失函数下,有着不同的输出结果。其中L1能够看出,保留相当多的低频信息。
图5:可以看出,如果生成模型拥有着类似UNet的skip connections,那么可以看出输出结果将有更高质量的结果。
图6:说明patch大小的变化。
图10:把cGAN应用到语义分割上。
被引用次数:349 https://arxiv.org/pdf/1611.07004
pytorch实现:https://github.com/sunshineatnoon/Paper-Implementations
图1:图像处理,图形和视觉中的许多问题就是把一幅输入图像转换为输出图像。在每一个情形下,我们使用相同的结构和目标,并且简单地训练在不同的数据上。
图4:说明了不同的loss损失函数下,有着不同的输出结果。其中L1能够看出,保留相当多的低频信息。
图5:可以看出,如果生成模型拥有着类似UNet的skip connections,那么可以看出输出结果将有更高质量的结果。
图6:说明patch大小的变化。
图10:把cGAN应用到语义分割上。
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