5 papers
VoroDuce: Massively Parallel 3D Voronoi Simplification with Volume-Aware Edge Collapse
Felix Windisch, Lukas Radl, Thomas Köhler +4
3D Voronoi diagrams provide a powerful mathematical framework for representing volumetric functions and geometry with applications to Materials Science, Biology, Simulation and Ast…
SteadySplats: Resampling of Low-Variance Gaussians for High-Fidelity Stochastic Rendering
Felix Windisch, Thomas Köhler, Lukas Radl +5
Stochastic order-independent transparency enables efficient and elegant rendering of primitive-based radiance fields like 3D Gaussian Splatting models, but remains impractical due…
Confidence-Based Mesh Extraction from 3D Gaussians
Lukas Radl, Felix Windisch, Andreas Kurz +3
Recently, 3D Gaussian Splatting (3DGS) greatly accelerated mesh extraction from posed images due to its explicit representation and fast software rasterization. While the addition…
A LoD of Gaussians: Unified Training and Rendering for Ultra-Large Scale Reconstruction with External Memory
Felix Windisch, Thomas Köhler, Lukas Radl +4
Gaussian Splatting has emerged as a high-performance technique for novel view synthesis, enabling real-time rendering and high-quality reconstruction of small scenes. However, scal…
AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering
Michael Steiner, Thomas Köhler, Lukas Radl +3
Although 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction, it still faces challenges such as aliasing, projection artifacts, and view inconsistencies, primarily du…