VIBE: Video Inference for Human Body Pose and Shape Estimation

CVPR 2020 Muhammed KocabasNikos AthanasiouMichael J. Black

Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and natural motion sequences due to a lack of ground-truth 3D motion data for training... (read more)

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Results from the Paper


 Ranked #1 on 3D Human Pose Estimation on 3DPW (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
3D Human Pose Estimation 3DPW VIBE PA-MPJPE 51.9 # 1
3D Human Pose Estimation Human3.6M VIBE Average MPJPE (mm) 65.6 # 38
Using 2D ground-truth joints No # 1
Multi-View or Monocular Monocular # 1

Methods used in the Paper