The recent advancements in the field of 3D modeling and generation are pushing the boundaries of what is possible with digital representations. Innovations in scalable reparameterization techniques are enabling more efficient and accurate handling of complex geometries, particularly in engineering applications. The integration of deep learning with traditional methods, such as the polycube method, is leading to higher quality hexahedral mesh generation and volumetric spline construction, which are crucial for isogeometric analysis. Additionally, the development of frameworks that allow for controllable and precise 3D generation from text prompts, such as Layout-Your-3D, is making it easier to create complex 3D assets with realistic interactions. These advancements are not only improving the quality and efficiency of 3D modeling but also expanding the creative possibilities for artists and designers. Notably, the introduction of 3D-Adapter is enhancing the geometric consistency of multi-view diffusion models, which is pivotal for high-quality 3D generation across various tasks. Overall, the field is moving towards more integrated, scalable, and user-friendly solutions that leverage both traditional and modern computational techniques.