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Models/PSGN

PSGN

Reported on 6 benchmarks across 4 tasks · 1 paper · 6 SOTA

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

Computer Vision4 results

Object ReconstructiononData3D−R2N2
3DIoU· uses extra data· 2016-12-02
0.64
best: 0.696 (LRGT)
SOTA
A Point Set Generation Network for 3D Object Reconstruction from a Single Image arXiv:1612.00603
Object ReconstructiononData3D−R2N2
Avg F1· 2016-12-02
48.58
best: 67.37 (GEOMetrics)
SOTA
A Point Set Generation Network for 3D Object Reconstruction from a Single Image arXiv:1612.00603
3D Object ReconstructiononData3D−R2N2
3DIoU· uses extra data· 2016-12-02
0.64
best: 0.696 (LRGT)
SOTA
A Point Set Generation Network for 3D Object Reconstruction from a Single Image arXiv:1612.00603
3D Object ReconstructiononData3D−R2N2
Avg F1· 2016-12-02
48.58
best: 67.37 (GEOMetrics)
SOTA
A Point Set Generation Network for 3D Object Reconstruction from a Single Image arXiv:1612.00603

Methodology2 results

3D ReconstructiononData3D−R2N2
3DIoU· uses extra data· 2016-12-02
0.64
best: 0.642 (AttSets)
SOTA
A Point Set Generation Network for 3D Object Reconstruction from a Single Image arXiv:1612.00603
3DonData3D−R2N2
3DIoU· uses extra data· 2016-12-02
0.64
best: 0.642 (AttSets)
SOTA
A Point Set Generation Network for 3D Object Reconstruction from a Single Image arXiv:1612.00603