Garment modeling with a depth camera

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Learning to Reconstruct People in Clothing From a Single RGB Camera (2019, background): “Shape and clothing have been recovered from RGB images [31, 15], depth [16], or scan data [56], but require manual intervention or clothing is limited to a pre-defined set of templates.”
ClothCap (2017, background): “Chen et al. (2015) describe a system for capturing and modeling garments using a Kinect-based scan of a person.”
Multi-Garment Net: Learning to Dress 3D People From Images (2019, background): “[13] retrieve similar looking synthetic clothing templates from a database.”
3D Mesh Labeling via Deep Convolutional Neural Networks (2015, methodology): “…that each triangle on the mesh belongs to This step, denoted as mesh labeling, aims to infer the inherent characteristics of the mesh and can be applied to various applications such as mesh editing [Yu et al. 2004; Chen et al. 2015a],modelling [Chenetal.2013,2015b]anddeformation[Yang et al. 2013 .”