The recent advancements in the field of 3D rendering and interactive systems have seen a significant shift towards leveraging Gaussian primitives for high-fidelity and real-time performance. This trend is particularly evident in the development of hand pose embeddings for interactive multimedia systems, where Variational Autoencoders (VAEs) are being employed to map flexible hand poses into a visual space, enhancing user interaction experiences. Additionally, the integration of 3D Gaussian Splatting (3DGS) with mesh representations has been explored to achieve adaptive and high-quality rendering, addressing the limitations of traditional mesh-based methods in handling complex scenes. The field is also witnessing innovations in head avatar rendering, where 2D Gaussian surfels are being used to capture intricate geometric details, overcoming the constraints of similarity transformations. Furthermore, the application of 3DGS in robotics is being extensively surveyed, highlighting its potential in real-time and photo-realistic performance for robotic applications. Notably, there is a growing focus on memory-efficient frameworks for dynamic scene rendering, which aim to reduce computational costs while maintaining high rendering quality. These developments collectively indicate a move towards more efficient, flexible, and high-fidelity rendering solutions, driven by advancements in Gaussian-based representations and their integration with traditional rendering techniques.

Noteworthy Papers:

• HpEIS: Introduces a novel VAE-based system for hand pose mapping, enhancing stability and smoothness in user interactions.
• MeshGS: Proposes an adaptive mesh-aligned Gaussian splatting technique, significantly improving rendering quality.
• SurFhead: Utilizes 2D Gaussian surfels for high-fidelity head avatar rendering, addressing geometric detail challenges.
• MEGA: Presents a memory-efficient framework for 4D Gaussian splatting, reducing storage costs while maintaining rendering quality.