Part-Level 3D Gaussian Vehicle Generation with Joint and Hinge Axis Estimation
A new method has been proposed to generate 3D Gaussian vehicle models with joint and hinge axis estimation. The approach uses a deep learning-based model to capture the articulation of vehicle parts, enabling more accurate simulation and perception in autonomous driving. This work has the potential to significantly improve the development of autonomous vehicles.
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