Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks

1 code implementation • ECCV 2022 • Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki ;

Compared to the original DIP that transforms a fixed random code into a noise-free image by the neural network, we reproduce vertex displacement from a fixed random code and reproduce facet normals from feature vectors that summarize local triangle arrangements.

Denoising Image Restoration