3D Hand Pose Estimation On Ho 3D

AUC_J

AUC_V

F@15mm

F@5mm

PA-MPJPE (mm)

PA-MPVPE

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	AUC_J	AUC_V	F@15mm	F@5mm	PA-MPJPE (mm)	PA-MPVPE
pose2mesh-graph-convolutional-network-for-3d	0.754	0.749	0.909	0.441	12.5	12.7
handsformer-keypoint-transformer-for	0.786	-	-	-	10.8	-
artiboost-boosting-articulated-3d-hand-object	0.773	0.782	0.944	0.488	11.4	10.9
harmonious-feature-learning-for-interactive	-	-	0.965	0.575	8.9	8.7
wilor-end-to-end-3d-hand-localization-and	0.851	0.846	0.983	0.646	7.5	7.7
a-probabilistic-attention-model-with	0.835	0.836	0.965	0.608	8.3	8.2
end-to-end-human-pose-and-mesh-reconstruction	0.792	0.779	0.946	0.484	10.4	11.1
mobrecon-mobile-friendly-hand-mesh	-	-	0.957	0.538	9.2	9.4
collaborative-learning-for-hand-and-object	-	-	0.943	0.485	-	10.9
hoisdf-constraining-3d-hand-object-pose	-	-	-	-	9.2	-
ho-3d-a-multi-user-multi-object-dataset-for	0.788	0.790	0.942	0.506	10.7	10.6
towards-unconstrained-joint-hand-object	-	-	-	-	12.0	-
handoccnet-occlusion-robust-3d-hand-mesh	0.819	0.819	0.963	0.564	9.1	8.8
reconstructing-hands-in-3d-with-transformers	0.846	0.841	0.980	0.635	7.7	7.9
sr-affine-high-quality-3d-hand-model	0.804	0.799	0.943	0.500	9.9	10.1
hamba-single-view-3d-hand-reconstruction-with	0.850	0.846	0.982	0.648	7.5	7.7
model-based-3d-hand-reconstruction-via-self	0.773	0.777	0.930	0.450	11.4	11.2
h2onet-hand-occlusion-and-orientation-aware	0.829	0.828	0.966	0.570	8.5	8.6
interacting-hand-object-pose-estimation-via	-	-	-	-	10.1	-
handbooster-boosting-3d-hand-mesh	0.836	0.832	0.972	0.585	8.2	8.4
i2l-meshnet-image-to-lixel-prediction-network-1	0.775	0.722	0.932	0.409	11.2	13.9
3d-hand-reconstruction-via-aggregating-intra	-	-	-	-	8.8	-
semi-supervised-3d-hand-object-poses	-	-	-	-	10.1	-