Normal Incorporated Stereo Matching verbessert die Disparitätsschätzung durch geometrische Führung und dynamische Punktauswahl.
This study introduces ViTAS, a novel adapter that effectively leverages the informative, general-purpose features extracted by vision foundation models to significantly improve stereo matching accuracy and generalizability across diverse datasets.