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Sep, 2018
密集姿态转移
Dense Pose Transfer
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Natalia Neverova, Riza Alp Guler, Iasonas Kokkinos
TL;DR
研究使用表面模型建模、神经综合、稠密姿态估计、生成模型等方法，实现人像姿态转换，获得优于 DeepFashion 和 MVC 数据集上基于标记或字符的替代方案的性能提升。
Abstract
In this work we integrate ideas from
surface-based modeling
with
neural synthesis
: we propose a combination of surface-based pose estimation and deep
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