rsasaki0109 (@rsasaki0109)
2025-12-28 | โค๏ธ 138 | ๐ 21
DVGT: Driving Visual Geometry Transform DVGT, a universal visual geometry transformer for autonomous driving, directly predicts metric-scaled global 3D point maps from a sequence of unposed multi-view images, eliminating the need for post-alignment with external data. https://github.com/wzzheng/DVGT DVGT proposes a universal framework for driving geometry perception. Unlike conventional driving models that are tightly coupled to specific sensor setups or require ground-truth poses, our model leverages spatial-temporal attention to process unposed image sequences directly. By decoding global geometry in the ego-coordinate system, DVGT achieves metric-scaled dense reconstruction without LiDAR alignment, offering a robust solution that adapts seamlessly to diverse vehicles and camera configurations.
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