HyperAI초신경

3D Human Pose Estimation On Total Capture

평가 지표

Average MPJPE (mm)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
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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