3D Hand Pose Estimation On Ho 3D

评估指标

AUC_J

AUC_V

F@15mm

F@5mm

PA-MPJPE (mm)

PA-MPVPE

评测结果

各个模型在此基准测试上的表现结果

							Paper Title	Repository
Pose2Mesh	0.754	0.749	0.909	0.441	12.5	12.7	Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
HOR	-	-	-	-	12.0	-	Towards unconstrained joint hand-object reconstruction from RGB videos
ArtiBoost	0.773	0.782	0.944	0.488	11.4	10.9	ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
S2Hand	0.773	0.777	0.930	0.450	11.4	11.2	Model-based 3D Hand Reconstruction via Self-Supervised Learning
I2L-MeshNet	0.775	0.722	0.932	0.409	11.2	13.9	I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
KPT-Transformer	0.786	-	-	-	10.8	-	Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation
Hampali et al.	0.788	0.790	0.942	0.506	10.7	10.6	HOnnotate: A method for 3D Annotation of Hand and Object Poses
METRO	0.792	0.779	0.946	0.484	10.4	11.1	End-to-End Human Pose and Mesh Reconstruction with Transformers
DMA	-	-	-	-	10.1	-	Interacting Hand-Object Pose Estimation via Dense Mutual Attention
SHO	-	-	-	-	10.1	-	Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
I2UV-HandNet	0.804	0.799	0.943	0.500	9.9	10.1	I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling	-
MobRecon	-	-	0.957	0.538	9.2	9.4	MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
HOISDF	-	-	-	-	9.2	-	HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
HandOccNet	0.819	0.819	0.963	0.564	9.1	8.8	HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network	-
HFL-Net	-	-	0.965	0.575	8.9	8.7	Harmonious Feature Learning for Interactive Hand-Object Pose Estimation	-
SemGCN	-	-	-	-	8.8	-	3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario	-
H2ONet	0.829	0.828	0.966	0.570	8.5	8.6	H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction	-
AMVUR	0.835	0.836	0.965	0.608	8.3	8.2	A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
HandBooster	0.836	0.832	0.972	0.585	8.2	8.4	HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions
HaMeR	0.846	0.841	0.980	0.635	7.7	7.9	Reconstructing Hands in 3D with Transformers

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