Generative 3D Object Classification

Generative 3D Object Classification is a subtask in the field of computer vision that focuses on generating object types from point cloud data, differing from discriminative models that directly classify objects based on probability. This task aims to capture the 3D structural features of objects through generative models to achieve more accurate classification and recognition, with significant application value in areas such as autonomous driving, robot navigation, and virtual reality.