GRAICVLGJan 27, 2024

Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering

arXiv:2401.15318v231 citationsh-index: 25CVPR
Originality Incremental advance
AI Analysis

This work addresses the challenge of cohesive motion synthesis and rendering for virtual scenes, but it appears incremental as it builds upon existing methods like GaussianShader and Position-Based Dynamics.

The paper tackles the problem of integrating physics-based animations of solids and fluids with 3D Gaussian Splatting to create novel effects in virtual scenes, resulting in a framework that realistically reproduces surface highlights on dynamic fluids and facilitates interactions between scene objects and fluids from new views.

We demonstrate the feasibility of integrating physics-based animations of solids and fluids with 3D Gaussian Splatting (3DGS) to create novel effects in virtual scenes reconstructed using 3DGS. Leveraging the coherence of the Gaussian Splatting and Position-Based Dynamics (PBD) in the underlying representation, we manage rendering, view synthesis, and the dynamics of solids and fluids in a cohesive manner. Similar to GaussianShader, we enhance each Gaussian kernel with an added normal, aligning the kernel's orientation with the surface normal to refine the PBD simulation. This approach effectively eliminates spiky noises that arise from rotational deformation in solids. It also allows us to integrate physically based rendering to augment the dynamic surface reflections on fluids. Consequently, our framework is capable of realistically reproducing surface highlights on dynamic fluids and facilitating interactions between scene objects and fluids from new views. For more information, please visit our project page at \url{https://gaussiansplashing.github.io/}.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes