The field of 3D printing and shape decomposition is rapidly evolving, with a focus on developing innovative techniques for creating complex geometries and functional devices. Recent research has explored the use of multi-material additive manufacturing, native 3D part segmentation, and controllable generative models to achieve superior impedance matching, reduced fabrication time, and cost savings. These advancements have the potential to revolutionize various applications, including antenna fabrication, 3D understanding, and part generation. Noteworthy papers include: P3-SAM, which proposes a native 3D point-promptable part segmentation model that achieves precise segmentation results and strong robustness on complex objects. X-Part, which introduces a controllable generative model that decomposes 3D objects into semantically meaningful and structurally coherent parts with high geometric fidelity.