Revisiting adaptive patches for mesh denoising

This paper revisits the mesh denoising problem by presenting an extended and refined version of our previous adaptive patch framework. Triangular meshes acquired from real-world data often contain noise that degrades surface quality, and denoising techniques must remove such distortions while preserving true geometric details, a difficult task due to the similar high-frequency characteristics of noise and sharp features. Our revisited approach follows a two-step strategy that first applies bilat