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Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow
时间 2020-12-23
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文章提出了包含两个生成网络,两个判别网络的网络结构,用于去除图像中的阴影,并还原没有阴影的真实图像.网络机构图如下, 生成网络G1用于检测阴影区域,输入为包含阴影的图像,输出为阴影区域图像.生成网络G2用于去除阴影,输入为包含阴影的图像和G1生成的二值图像的,输出为去除阴影的图像.判别网络D1,D2用于监督这两个生成过程,直到模型收敛.判别网络D1的输入为,将阴影图像分别和G1检测的阴影区域图像,
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