3D Human Pose Estimation
3D Human Pose Estimation 是计算机视觉领域的一项任务,旨在从二维图像或视频中估计人体关节和骨骼的三维位置和朝向。该技术的目标是实现实时的人体三维姿态重建,具有广泛的应用价值,包括虚拟现实、人机交互和运动分析等。
3D Poses in the Wild Challenge
MeTRo
3DOH50K
3DPW
WHAM (ViT)
AGORA
NIKI (Twist-and-Swing)
AIST++
RobustCap
CHALL H80K
ResNet
Panoptic
ROMP (ResNet-50)
DHP19
Point Transformer
EMDB
TRAM
Geometric Pose Affordance
Baseline model
Geometric Pose Affordance
H3WB
RTMW3D-x
HSPACE
Human3.6M
TCPFormer
HumanEva-I
GLA-GCN (T=27, GT)
ITOP front-view
SPiKE
JTA
Dual network
MPI-INF-3DHP
TCPFormer (T=81)
RICH
SkiPose
MetaPose (S1+S2)
SLOPER4D
LiDAR-HMR
SPEC-MTP
W-HMR
Surreal
VirtualMarker
Total Capture
AdaFuse
UBody
Multi-HMR
Waymo Open Dataset
VoxelKP