SOURCE-LINKED INTELLIGENCE

HELIOS: From midnight to noon, continuous outdoor urban scene relighting

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Modifying the illumination of driving images is a fundamental challenge, as most datasets are captured at specific times of day. Existing methods rely on synthetic data or paired multi-illumination supervision, which limits their generalization to the diverse and challenging conditions of real-world scenarios. To address this, we propose HELIOS, a novel image relighting approach that relies on unlabeled real-world datasets without requiring any paired images for training. Our approach integrates albedo-based conditioning into a cycle-consistent diffusion pipeline to prevent identity collapse a

Read original source ↗ Open in workspace

recordType

paper

region

Global