  Over the past years, we have observed an abundance of approaches for modeling
dynamic 3D scenes using Gaussian Splatting (GS). Such solutions use GS to
represent the scene's structure and the neural network to model dynamics. Such
approaches allow fast rendering and extracting each element of such a dynamic
scene. However, modifying such objects over time is challenging. SC-GS (Sparse
Controlled Gaussian Splatting) enhanced with Deformed Control Points partially
solves this issue. However, this approach necessitates selecting elements that
need to be kept fixed, as well as centroids that should be adjusted throughout
editing. Moreover, this task poses additional difficulties regarding the
re-productivity of such editing. To address this, we propose Dynamic
Multi-Gaussian Soup (D-MiSo), which allows us to model the mesh-inspired
representation of dynamic GS. Additionally, we propose a strategy of linking
parameterized Gaussian splats, forming a Triangle Soup with the estimated mesh.
Consequently, we can separately construct new trajectories for the 3D objects
composing the scene. Thus, we can make the scene's dynamic editable over time
or while maintaining partial dynamics.
