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3D Human Pose Estimation
3D Human Pose Estimation On Mpi Inf 3Dhp
3D Human Pose Estimation On Mpi Inf 3Dhp
Metrics
MPJPE
PCK
Results
Performance results of various models on this benchmark
Columns
Model Name
MPJPE
PCK
Paper Title
Repository
CanonPose
104
77
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
Adversarial Learning
-
69.0
3D Human Pose Estimation in the Wild by Adversarial Learning
-
STR
95.3
-
Spatio-temporal Tendency Reasoning for Human Body Pose and Shape Estimation from Videos
-
Graph Stacked Hourglass Network
-
80.1
Graph Stacked Hourglass Networks for 3D Human Pose Estimation
DST-VIBE
93.4
-
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
-
MixSTE (T=27)
54.9
94.4
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
Probabilistic Monocular
-
84.3
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
Self-Attentive
94.3
90.1
Self-Attentive 3D Human Pose and Shape Estimation from Videos
-
PONet
115.0
76.1
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only
-
PoseTriplet
79.5
89.1
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision
CrossFormer
76.3
89.1
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
GeoRep (fully-supervised)
110.8
80.2
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
-
SRNET
-
77.6
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
RepNet (H36M)
92.5
81.8
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
PoseLifter
-
84
PoseLifter: Absolute 3D human pose lifting network from a single noisy 2D human pose
PoseFormer (9 frames)
77.1
88.6
3D Human Pose Estimation with Spatial and Temporal Transformers
STCFormer (T=81)
23.1
98.7
3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention
W-HMR
83.2
-
W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised Calibration
Fusionformer (f=9)
28.2
97.9
(Fusionformer):Exploiting the Joint Motion Synergy with Fusion Network Based On Transformer for 3D Human Pose Estimation
-
FinePOSE
26.2
98.9
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
-
0 of 116 row(s) selected.
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