Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering
Antoine Gu\'edon, Vincent Lepetit

TL;DR
Gaussian Frosting introduces a mesh-based radiance field representation that enables high-quality, real-time rendering and editing of complex 3D effects by combining Gaussian splatting with an adaptive frosting layer around the mesh.
Contribution
It proposes a novel mesh-based radiance field method with an adaptive Gaussian frosting layer, improving detail capture and editing capabilities over existing surface-based approaches.
Findings
Outperforms existing surface-based rendering methods.
Enables efficient real-time rendering and editing.
Effectively captures fine details like hair and grass.
Abstract
We propose Gaussian Frosting, a novel mesh-based representation for high-quality rendering and editing of complex 3D effects in real-time. Our approach builds on the recent 3D Gaussian Splatting framework, which optimizes a set of 3D Gaussians to approximate a radiance field from images. We propose first extracting a base mesh from Gaussians during optimization, then building and refining an adaptive layer of Gaussians with a variable thickness around the mesh to better capture the fine details and volumetric effects near the surface, such as hair or grass. We call this layer Gaussian Frosting, as it resembles a coating of frosting on a cake. The fuzzier the material, the thicker the frosting. We also introduce a parameterization of the Gaussians to enforce them to stay inside the frosting layer and automatically adjust their parameters when deforming, rescaling, editing or animating…
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · 3D Shape Modeling and Analysis · Advanced Vision and Imaging
MethodsSparse Evolutionary Training · Balanced Selection
