2026
LiDAR Prompted Spatio-Temporal Multi-View Stereo for Autonomous Driving
CVPR 2026
Accurate metric depth is critical for autonomous driving perception and simulation, yet current approaches struggle to achieve high metric accuracy, multi-view and temporal consistency, and cross-domain generalization. To address these challenges, we present DriveMVS, a novel multi-view stereo frame