Ling Jian

Wavelet-Driven 3D Anomaly Detection under Pose-Agnostic and Sparse-View

Pose-agnostic anomaly detection (PAD) achieves strong performance in localizing anomalies from arbitrary viewpoints when trained on densely sampled normal data. However, under sparse-view conditions, existing methods face two key challenges: (1) sparse observations lead to overfitting and geometric