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Models/HandFoldingNet

HandFoldingNet

Reported on 15 benchmarks across 5 tasks · 1 paper · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

HandonICVL Hands
Average 3D Error· 2021-08-12
5.95
best: 4.79 (Virtual View Selection)
SOTA
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
Pose EstimationonICVL Hands
Average 3D Error· 2021-08-12
5.95
best: 4.79 (Virtual View Selection)
SOTA
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
HandonMSRA Hands
Average 3D Error· 2021-08-12
7.34
best: 7.13 (TriHorn-Net)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
HandonNYU Hands
Average 3D Error· 2021-08-12
8.58
best: 6.4 (Virtual View Selection)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
Pose EstimationonMSRA Hands
Average 3D Error· 2021-08-12
7.34
best: 7.13 (TriHorn-Net)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
Pose EstimationonNYU Hands
Average 3D Error· 2021-08-12
8.58
best: 6.4 (Virtual View Selection)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545

Graphs3 results

Hand Pose EstimationonICVL Hands
Average 3D Error· 2021-08-12
5.95
best: 4.79 (Virtual View Selection)
SOTA
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
Hand Pose EstimationonMSRA Hands
Average 3D Error· 2021-08-12
7.34
best: 7.13 (TriHorn-Net)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
Hand Pose EstimationonNYU Hands
Average 3D Error· 2021-08-12
8.58
best: 6.4 (Virtual View Selection)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545

Methodology3 results

3DonICVL Hands
Average 3D Error· 2021-08-12
5.95
best: 4.79 (Virtual View Selection)
SOTA
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
3DonMSRA Hands
Average 3D Error· 2021-08-12
7.34
best: 7.13 (TriHorn-Net)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
3DonNYU Hands
Average 3D Error· 2021-08-12
8.58
best: 6.4 (Virtual View Selection)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545

Audio3 results

1 Image, 2*2 StitchionICVL Hands
Average 3D Error· 2021-08-12
5.95
best: 4.79 (Virtual View Selection)
SOTA
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
1 Image, 2*2 StitchionMSRA Hands
Average 3D Error· 2021-08-12
7.34
best: 7.13 (TriHorn-Net)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545
1 Image, 2*2 StitchionNYU Hands
Average 3D Error· 2021-08-12
8.58
best: 6.4 (Virtual View Selection)
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton arXiv:2108.05545