Polarimetric Inverse Rendering for Transparent Shapes Reconstruction. (arXiv:2208.11836v1 [cs.CV])

In this work, we propose a novel method for the detailed reconstruction of
transparent objects by exploiting polarimetric cues. Most of the existing
methods usually lack sufficient constraints and suffer from the over-smooth
problem. Hence, we introduce polarization information as a complementary cue.
We implicitly represent the object's geometry as a neural network, while the
polarization render is capable of rendering the object's polarization images
from the given shape and illumination configuration. Direct comparison of the
rendered polarization images to …

arxiv cv inverse rendering