3D Human Pose, Shape and Texture From Low-Resolution Images and Videos

3D human pose and shape estimation from monocular images has been an active research area in computer vision. Existing deep learning methods for this task rely on high-resolution input, which however, is not always available in many scenarios such as video surveillance and sports broadcasting. Two c...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 9 vom: 03. Sept., Seite 4490-4504
1. Verfasser: Xu, Xiangyu (VerfasserIn)
Weitere Verfasser: Chen, Hao, Moreno-Noguer, Francesc, Jeni, Laszlo A, De la Torre, Fernando
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.