To extend the proposed method to handle more complex object categories with articulated parts or deformable shapes, several enhancements can be considered. One approach is to incorporate a more sophisticated pose estimation mechanism that can handle articulations and deformations. This could involve leveraging advanced techniques such as mesh-based representations or skeletal models to capture the articulated parts of objects. By integrating these models into the pose estimation process, the method can better understand and reconstruct complex object shapes with articulated parts.
Additionally, introducing a mechanism for shape priors or constraints based on the learned 3D template feature field can help guide the generation process for objects with deformable shapes. By incorporating prior knowledge about the expected shapes and structures of different object categories, the method can generate more accurate and realistic 3D shapes, even in the presence of deformations or articulated parts.