Yes, the insights from leveraging different levels of annotations in 3D building reconstruction can be applied to improve 3D reconstruction in other domains such as object or scene reconstruction. By incorporating multi-level supervision and designing flexible frameworks that can adapt to varying levels of annotation complexity, models can be trained more efficiently and effectively. For object reconstruction, this approach can help in handling objects with different levels of detail or complexity. In scene reconstruction, it can aid in reconstructing complex environments with varying levels of annotation availability. By tailoring the network architecture and training strategies to the specific requirements of each domain, the benefits of multi-level supervision can be extended to a wide range of 3D reconstruction tasks.