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Coherent Reconstruction of Multiple Humans From a Single Image
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Coherent reconstruction of pose and shape for multiple people. Typical top-down regression baselines (center) suffer from predicting people in overlapping positions, or in inconsistent depth orderings. Our approach (right) is trained to respect all these constraints and recover a coherent reconstruction of all the people in the scene in a feedforward manner.
doi:10.1109/cvpr42600.2020.00562
dblp:conf/cvpr/JiangKPZD20
fatcat:c5ayajgp6ndjtjwv5d3ox57sza