Shota Hattori

Learning Self-Prior for Mesh Denoising Using Dual Graph Convolutional Networks

"This study proposes a deep-learning framework for mesh denoising from a single noisy input, where two graph convolutional networks are trained jointly to filter vertex positions and facet normals apart. The prior obtained only from a single input is particularly referred to as a self-prior. The pro…