Abstract: Accurate separation of wood and leaf components from tree point clouds is essential for precise tree parameter estimation and high-fidelity 3-D model reconstruction. However, deep learning ...

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Abstract: Self-supervised point cloud representation learning aims to acquire robust and general feature representations from unlabeled data. Recently, masked point modeling-based methods have shown ...