3D Shape Reconstruction

3D Shape Reconstruction is a key task in computer vision, aiming to recover the three-dimensional geometric shape of objects from two-dimensional images or point cloud data. This task achieves joint reconstruction of vehicle pose and shape through geometric and scene-aware supervision, enhancing the robustness and accuracy of models in complex environments. 3D Shape Reconstruction holds significant value in applications such as autonomous driving, virtual reality, augmented reality, and robot navigation.