A Hierarchical Architecture for Neural Materials

arXiv:2307.10135v3 Announce Type: replace-cross
Abstract: Neural reflectance models are capable of reproducing the spatially-varying appearance of many real-world materials at different scales. Unfortunately, existing techniques such as NeuMIP have difficulties handling materials with strong shadowing effects or detailed specular highlights. In this paper, we introduce a neural appearance model that offers a new level of accuracy. Central to our model is an inception-based core network structure that captures material appearances at multiple scales using parallel-operating kernels and ensures multi-stage features …

abstract architecture arxiv cs.cv cs.gr effects hierarchical highlights materials paper type world