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Progressive and Aligned Pose Attention Transfer for Person Image Generation
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Zhu, ZhenBai, XiangHuang, TengtengXu, MengdeShi, BaoguangCheng, Wenqing

This paper proposes a new generative adversarial network for pose transfer, i.e., transferring the pose of a given person to a target pose. We design a progressive generator which comprises a seque…


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