GAN2X: Non-Lambertian Inverse Rendering of Image GANs. (arXiv:2206.09244v4 [cs.CV] UPDATED)

2D images are observations of the 3D physical world depicted with the
geometry, material, and illumination components. Recovering these underlying
intrinsic components from 2D images, also known as inverse rendering, usually
requires a supervised setting with paired images collected from multiple
viewpoints and lighting conditions, which is resource-demanding. In this work,
we present GAN2X, a new method for unsupervised inverse rendering that only
uses unpaired images for training. Unlike previous Shape-from-GAN approaches
that mainly focus on 3D shapes, we take …

arxiv gans image inverse rendering rendering