3D Multi Person Pose Estimation Root Relative

Metrics

3DPCK

Results

Performance results of various models on this benchmark

Model Name	3DPCK	Paper Title	Repository
DAS	82.7	Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
POTR-3D	83.7	Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild	-
GR-M3D	84.6	Dynamic Graph Reasoning for Multi-person 3D Pose Estimation	-
Single-Shot Multi-Person	65	Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
SMAP	73.5	SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
PI-Net	82.5	PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation	-
Liu et al.	79.4	Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation	-
HMOR	82.0	HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation	-
LCR-Net	-	LCR-Net: Localization-Classification-Regression for Human Pose	-
3DMPPE_POSENET	81.8	Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
Mehta et al.	-	Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
Temporal Smoothing	85.3	Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
WDSPose	82.7	Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
TDBU_Net	89.6	Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
Cascaded Dimension-Lifting	83.3	Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting	-
PIRN	85.8	Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation	-
Dual network	89.6	Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
GnTCN	87.5	Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Depth Prediction Network	-	Absolute Human Pose Estimation with Depth Prediction Network
HDNet	83.7	HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization

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