image-relighting

This paper introduces WildRelight, a new real-world benchmark dataset for single-image relighting that addresses the gap between synthetic and natural scenes. It proposes a physics-guided adaptation framework using diffusion posterior sampling and test-time adaptation to improve model performance on real-world data.