Introduction With the rapid advancement of 3d denosing machine learning, imaging technologies, data acquired from 3D sensors, LiDAR, MRI, CT scans, and photogrammetry have become essential in various fields, including healthcare, autonomous driving, geospatial analysis, and virtual reality. However, real-world 3D data is often contaminated with noise due to sensor limitations, environmental conditions, and data