1 citations · 3 across the 9 of their papers we have counts for
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Compact Neural Appearance Models for Efficient Gaussian Splatting
Florian Hahlbohm, Jorge Condor, Linus Franke +2
Explicit primitive-based radiance fields such as 3D Gaussian Splatting typically model view-dependent appearance using low-order spherical harmonics (SH). Although efficient to eva…
Faster-GS: Analyzing and Improving Gaussian Splatting Optimization
Florian Hahlbohm, Linus Franke, Martin Eisemann +1
Recent advances in 3D Gaussian Splatting (3DGS) have focused on accelerating optimization while preserving reconstruction quality. However, many proposed methods entangle implement…
NVGS: Neural Visibility for Occlusion Culling in 3D Gaussian Splatting
Brent Zoomers, Florian Hahlbohm, Joni Vanherck +3
3D Gaussian Splatting can exploit frustum culling and level-of-detail strategies to accelerate rendering of scenes containing a large number of primitives. However, the semi-transp…
D-NPC: Dynamic Neural Point Clouds for Non-Rigid View Synthesis from Monocular Video
Moritz Kappel, Florian Hahlbohm, Timon Scholz +5
Dynamic reconstruction and spatiotemporal novel-view synthesis of non-rigidly deforming scenes recently gained increased attention. While existing work achieves impressive quality…
INPC: Implicit Neural Point Clouds for Radiance Field Rendering
Florian Hahlbohm, Linus Franke, Moritz Kappel +4
We introduce a new approach for reconstruction and novel view synthesis of unbounded real-world scenes. In contrast to previous methods using either volumetric fields, grid-based m…