The field of 3D content generation is rapidly advancing with a focus on improving efficiency, controllability, and interactivity. Recent developments have led to the introduction of novel frameworks and methods that leverage techniques such as continuous spatial diffusion, superquadric primitives, and adaptive tokenization to generate high-quality 3D meshes and scenes. These advancements have significantly reduced generation speeds, with some methods achieving speedups of up to 35 times compared to existing baselines. Furthermore, the integration of these methods with existing conditional guidance strategies has the potential to relieve artists from time-consuming manual work involved in mesh creation. Noteworthy papers in this area include MeshCraft, which introduces a novel framework for efficient and controllable mesh generation, and WonderTurbo, which achieves real-time interactive 3D scene generation. Additionally, SuperDec presents an approach for creating compact 3D scene representations via decomposition into superquadric primitives, and Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization introduces a novel framework for adaptive tokenization.