The field of 3D Gaussian Splatting (3DGS) is witnessing significant advancements, particularly in enhancing rendering speed, fidelity, and the generation of Gaussian primitives. Recent developments focus on integrating normal vectors into the rendering pipeline to improve surface estimation and rendering quality, as seen in approaches like Normal-GS. Additionally, there is a growing emphasis on dynamic scene rendering and the use of novel encoding methods to address the limitations of traditional plane-based methods, exemplified by Grid4D. The field is also making strides in compositional 3D generation, where models like CompGS leverage 2D compositionality to initialize Gaussian parameters, ensuring consistent 3D priors and reasonable interactions among multiple entities. Furthermore, the integration of levels of detail into Gaussian avatars, as demonstrated by LoDAvatar, is balancing visual quality and computational costs, enhancing runtime frame rates. Notably, the use of Gaussian splatting for high-fidelity dynamic scene rendering and the incorporation of visual prompts in text-to-3D generation are areas of innovation that are pushing the boundaries of what is possible in this domain. These advancements collectively indicate a trend towards more efficient, high-quality, and versatile applications of 3DGS across various tasks and industries.