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Revisiting Tradition and Beyond: A Customized Bilateral Filtering Framework for Point Cloud Denoising

DescriptionTo combine deep learning's generalization with traditional methods' interpretability, we propose CustomBF—a hybrid framework that customizes bilateral filter components per point. By addressing key limitations of the classic bilateral filter, CustomBF achieves robust, interpretable, and effective point cloud denoising across diverse scenarios.

Authors

Peng Li

Nanjing University of Aeronautics and Astronautics

Zeyong Wei

Nanjing University of Aeronautics and Astronautics

Honghua Chen

Nanjing University of Aeronautics and Astronautics

Xuefeng Yan

Nanjing University of Aeronautics and Astronautics