NormalNet: Learning-Based Mesh Normal Denoising via Local Partition Normalization

Mesh denoising is a critical technology in geometry processing that aims to recover high-fidelity 3D mesh models of objects from noise-corrupted versions. In this work, we propose a learning-based mesh normal denoising scheme, called NormalNet , which employs deep networks to find the correlation be...

Ausführliche Beschreibung