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3D-Mensch-Pose-Schätzung
3D Human Pose Estimation On Mpi Inf 3Dhp
3D Human Pose Estimation On Mpi Inf 3Dhp
Metriken
MPJPE
PCK
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
MPJPE
PCK
Paper Title
VNect (Augm.)
124.7
76.6
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
HMR
124.2
72.9
End-to-end Recovery of Human Shape and Pose
Single-Shot Multi-Person
122.2
75.2
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
Mehta
117.6
75.7
Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision
PONet
115.0
76.1
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only
DenseRaC
114.2
76.9
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
Pose Consensus (monocular)
112.1
80.6
Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates
GeoRep (fully-supervised)
110.8
80.2
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
XFormer (HRNet)
109.8
-
XFormer: Fast and Accurate Monocular 3D Body Capture
EpipolarPose (fully-supervised)
108.99
77.5
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
SPIN
105.2
76.4
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
DSR
104.7
-
Learning to Regress Bodies from Images using Differentiable Semantic Rendering
CanonPose
104
77
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
RSC-Net
103.36
-
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning
PoseNet3D
102.4
81.9
PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation
DynaBOA
101.5
79.5
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
EvoSkeleton
99.7
81.2
Cascaded deep monocular 3D human pose estimation with evolutionary training data
XNect (SelecSLS)
98.4
82.8
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
DDT
97.8
-
DiffMesh: A Motion-aware Diffusion Framework for Human Mesh Recovery from Videos
RepNet (3DHP)
97.8
82.5
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
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3D Human Pose Estimation On Mpi Inf 3Dhp | SOTA | HyperAI