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Nov, 2018
PCGAN：分区控制的人类图像生成
PCGAN: Partition-Controlled Human Image Generation
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Dong Liang, Rui Wang, Xiaowei Tian, Cong Zou
TL;DR
用Partition-Controlled GAN生成符合目标姿势和背景的人类图像，模型通过提取和融合外观特征、姿势特征和背景特征来生成期望的图像，实验表明该方法不仅可以生成逼真的人类图像，还能符合预期的人体姿势和背景。
Abstract
human image generation
is a very challenging task since it is affected by many factors. Many
human image generation
methods focus on generating human images conditioned on a given pose, while the generated backgr
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