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Models/R3D-AD

R3D-AD

Reported on 8 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Methodology4 results

Anomaly DetectiononAnomaly-ShapeNet
O-AUROC· 2024-07-15
0.749
best: 0.909 (MC4AD)
SOTA
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection arXiv:2407.10862
Anomaly DetectiononReal 3D-AD
Object AUROC· 2024-07-15
0.734
best: 0.802 (PASDF)
SOTA
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection arXiv:2407.10862
Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2024-07-15
0.663
best: 0.821 (DUS-Net)
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection arXiv:2407.10862
Anomaly DetectiononReal 3D-AD
Point AUROC· 2024-07-15
0.592
best: 0.898 (GLFM)
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection arXiv:2407.10862

Computer Vision4 results

3D Anomaly DetectiononAnomaly-ShapeNet
O-AUROC· 2024-07-15
0.749
best: 0.909 (MC4AD)
SOTA
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection arXiv:2407.10862
3D Anomaly DetectiononReal 3D-AD
Object AUROC· 2024-07-15
0.734
best: 0.802 (PASDF)
SOTA
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection arXiv:2407.10862
3D Anomaly DetectiononReal 3D-AD
Mean Performance of P. and O. · 2024-07-15
0.663
best: 0.821 (DUS-Net)
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection arXiv:2407.10862
3D Anomaly DetectiononReal 3D-AD
Point AUROC· 2024-07-15
0.592
best: 0.898 (GLFM)
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection arXiv:2407.10862