AI RESEARCH

DriveFix: Spatio-Temporally Coherent Driving Scene Restoration

arXiv CS.CV

ArXi:2603.16306v1 Announce Type: new Recent advancements in 4D scene reconstruction, particularly those leveraging diffusion priors, have shown promise for novel view synthesis in autonomous driving. However, these methods often process frames independently or in a view-by-view manner, leading to a critical lack of spatio-temporal synergy. This results in spatial misalignment across cameras and temporal drift in sequences. We propose DriveFix, a novel multi-view restoration framework that ensures spatio-temporal coherence for driving scenes.