Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis

arXiv:2404.12819v1 Announce Type: new
Abstract: Inverse rendering aims to reconstruct the scene properties of objects solely from multiview images. However, it is an ill-posed problem prone to producing ambiguous estimations deviating from physically accurate representations. In this paper, we utilize Neural Microfacet Fields (NMF), a state-of-the-art neural inverse rendering method to illustrate the inherent ambiguity. We propose an evaluation framework to assess the degree of compensation or interaction between the estimated scene properties, aiming to explore the mechanisms behind this …

abstract analysis art arxiv compensation cs.cv estimations fields however images inverse rendering objects paper rendering state type