3D Human Mesh Regression with Dense Correspondence

CVPR 2020 Wang ZengWanli OuyangPing LuoWentao LiuXiaogang Wang

Estimating 3D mesh of the human body from a single 2D image is an important task with many applications such as augmented reality and Human-Robot interaction. However, prior works reconstructed 3D mesh from global image feature extracted by using convolutional neural network (CNN), where the dense correspondences between the mesh surface and the image pixels are missing, leading to suboptimal solution... (read more)

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