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3D Human Pose Estimation On Total Capture

Metrics

Average MPJPE (mm)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
ROS node wrapping	112	3D Human Pose Estimation in RGBD Images for Robotic Task Learning
PVH	107	Total capture: 3D human pose estimation fusing video and inertial sensors	-
Tri-CPM	99	Convolutional Pose Machines
IMUPVH	70	Total capture: 3D human pose estimation fusing video and inertial sensors	-
Single-RPSM	41.0	Cross View Fusion for 3D Human Pose Estimation
AutoEnc	35	Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling	-
DeepFuse-Vision Only	32.7	DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image	-
MTF-Transformer (M=0.4, T=7)	29.2	Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation	-
Fusion-RPSM	29.0	Cross View Fusion for 3D Human Pose Estimation
DeepFuse-IMU	28.9	DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image	-
LWCDR	27.5	Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation	-
GeoFuse	24.6	Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
AdaDeepFuse	22.5	FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation	-
AdaFuse	19.2	AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild

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3D Human Pose Estimation On Total Capture | SOTA | HyperAI