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Models/SECAD-Net

SECAD-Net

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision8 results

Object ReconstructiononFusion 360 Gallery
IoU· 2023-03-19
69
best: 85 (cadrille)
SOTA
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations arXiv:2303.10613
3D Object ReconstructiononFusion 360 Gallery
IoU· 2023-03-19
69
best: 85 (cadrille)
SOTA
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations arXiv:2303.10613
Object ReconstructiononFusion 360 Gallery
Chamfer Distance (median)· 2023-03-19
4.32
best: 0.17 (cadrille)
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations arXiv:2303.10613
Object ReconstructiononDeepCAD
Camfer Distance (median)· 2023-03-19
3.65
best: 0.17 (cadrille)
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations arXiv:2303.10613
Object ReconstructiononDeepCAD
IoU· 2023-03-19
72.9
best: 90.2 (cadrille)
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations arXiv:2303.10613
3D Object ReconstructiononFusion 360 Gallery
Chamfer Distance (median)· 2023-03-19
4.32
best: 0.17 (cadrille)
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations arXiv:2303.10613
3D Object ReconstructiononDeepCAD
Camfer Distance (median)· 2023-03-19
3.65
best: 0.17 (cadrille)
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations arXiv:2303.10613
3D Object ReconstructiononDeepCAD
IoU· 2023-03-19
72.9
best: 90.2 (cadrille)
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations arXiv:2303.10613