Towards a Perceptual Evaluation Framework for Lighting Estimation

arXiv:2312.04334v3 Announce Type: replace
Abstract: Progress in lighting estimation is tracked by computing existing image quality assessment (IQA) metrics on images from standard datasets. While this may appear to be a reasonable approach, we demonstrate that doing so does not correlate to human preference when the estimated lighting is used to relight a virtual scene into a real photograph. To study this, we design a controlled psychophysical experiment where human observers must choose their preference amongst rendered scenes lit using …

abstract arxiv assessment computing cs.cv datasets evaluation framework human image images lighting metrics progress quality standard type