Modeling Indirect Illumination for Inverse Rendering. (arXiv:2204.06837v1 [cs.CV])

Recent advances in implicit neural representations and differentiable
rendering make it possible to simultaneously recover the geometry and materials
of an object from multi-view RGB images captured under unknown static
illumination. Despite the promising results achieved, indirect illumination is
rarely modeled in previous methods, as it requires expensive recursive path
tracing which makes the inverse rendering computationally intractable. In this
paper, we propose a novel approach to efficiently recovering spatially-varying
indirect illumination. The key insight is that indirect illumination can …

arxiv cv inverse rendering modeling