This repository is a fork of Neural Geometric Level of Detail by Takikawa et al.
Master's degree in Computer Science
Sapienza University of Rome
The goal of this project is to expand the method for neural shape encoding proposed in NGLOD with the encoding of varying surface information, by using the same LOD-based method to generate the implicit representation of a 3D texture. The method can be applied to encode any type of surface information defined via 2D textures.