PPC-MT: Parallel Point Cloud Completion with Mamba-Transformer Hybrid Architecture

Researchers propose PPC-MT, a hybrid Mamba-Transformer architecture for point cloud completion that uses parallel processing guided by Principal Component Analysis. The framework outperforms existing methods on benchmark datasets while maintaining computational efficiency by combining Mamba's linear complexity with Transformer's fine-grained modeling capabilities.