Human Pose Transfer by Adaptive Hierarchical Deformation

Human pose transfer, as a misaligned image generation task, is very challenging. Existing methods cannot effectively utilize the input information, which often fail to preserve the style and shape of hair and clothes. In this paper, we propose an adaptive human pose transfer network with two hierarc...

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Vydané v:	Computer graphics forum Ročník 39; číslo 7; s. 325 - 337
Hlavní autori:	Zhang, Jinsong, Liu, Xingzi, Li, Kun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.10.2020
Predmet:	CCS Concepts Computing methodologies → Image processing Convolution Deformation Image processing Mathematical models Parameters Semantics Target recognition
ISSN:	0167-7055, 1467-8659
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