Monocular, One-stage, Regression of Multiple 3D People

27 Aug 2020 Yu Sun Qian Bao Wu Liu Yili Fu Michael J. Black Tao Mei

This paper focuses on the regression of multiple 3D people from a single RGB image. Existing approaches predominantly follow a multi-stage pipeline, which first detects people with the bounding boxes and then regresses their 3D body meshes... (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 3D Poses in the Wild Challenge ROMP MPJPE 81.76 # 2
MPJAE 20.80 # 2
3D Human Pose Estimation 3DPW ROMP PA-MPJPE 47.3 # 1
MPJPE 76.7 # 1
MPVPE 93.4 # 2

Methods used in the Paper


METHOD TYPE
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Output Functions