End-to-end Recovery of Human Shape and Pose

We describe Human Mesh Recovery (HMR), an end-to-end framework for reconstructing a full 3D mesh of a human body from a single RGB image. In contrast to most current methods that compute 2D or 3D joint locations, we produce a richer and more useful mesh representation that is parameterized by shape and 3D joint angles... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Monocular 3D Human Pose Estimation Human3.6M HMR Average MPJPE (mm) 56.8 # 10
Use Video Sequence No # 1
Frames Needed 1 # 1
Need Ground Truth 2D Pose No # 1
Weakly-supervised 3D Human Pose Estimation Human3.6M Kanzawa et al. Average MPJPE (mm) 106.8 # 8
3D Annotations No # 1
3D Human Pose Estimation Human3.6M HMR Average MPJPE (mm) 56.8 # 33

Results from Other Papers


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
SOURCE PAPER COMPARE
3D Human Pose Estimation 3DPW HMR PA-MPJPE 81.3 # 17
MPJPE 130.0 # 11
acceleration error 37.4 # 7

Methods used in the Paper


METHOD TYPE
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