Volumetric capture has revolutionized immersive media by reconstructing virtual scenes from real-world footage, captured through multi-camera setups. This method preserves authentic movements and textures without relying on computer-generated elements. While mesh-based representations have dominated volumetric pipelines, their limitations in handling complex scenarios restrict creative freedom and impose strict capture guidelines. Gaussian Splatting introduces a novel approach for real-time radiance field rendering, using 3D Gaussians to represent scenes. The core purpose of this thesis is to investigate Dynamic Gaussian Splatting as a potential alternative to meshes in Volucap GmbH’s volumetric capture workflow, focusing on human avatars rendering for extended reality (XR) experiences.