ShaTure : Shape and Texture Deformation for Human Pose and Attribute Transfer

In this paper, we present a novel end-to-end pose transfer framework to transform a source person image to an arbitrary pose with controllable attributes. Due to the spatial misalignment caused by occlusions and multi-viewpoints, maintaining high-quality shape and texture appearance is still a chall...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 11., Seite 2541-2556
1. Verfasser:	Yu, Wing-Yin (VerfasserIn)
Weitere Verfasser:	Po, Lai-Man, Xiong, Jingjing, Zhao, Yuzhi, Xian, Pengfei
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article