GeoWAM: Visual Geometry World Action Models for Autonomous Driving
GeoWAM shifts autonomous driving modeling from predicting future images to forecasting future scene geometry using point clouds as a state space. It pretrains a model on historical multiview data to predict 3D structure, then extends this into an action model by inferring ego motion directly from the predicted scene evolution. This provides a geometrically grounded foundation for planning.