activity
20242026
most citedEfficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency

1 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

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…

cs.CV2026★ 1 cited

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…

cs.LG2025

Learning-Based Estimation of Spatially Resolved Scatter Radiation Fields in Interventional Radiology

Felix Lehner, Pasquale Lombardo, Susana Castillo +2

We present three variants of a lightweight, fully connected artificial neural network, suited for interactive estimation of three-dimensional, spatially resolved volumes of scatter…

cs.CV2025

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…

cs.GR2025

A Bag of Tricks for Efficient Implicit Neural Point Clouds

Florian Hahlbohm, Linus Franke, Leon Overkämping +4

Implicit Neural Point Cloud (INPC) is a recent hybrid representation that combines the expressiveness of neural fields with the efficiency of point-based rendering, achieving state…

cs.LG2024

RadField3D: A Data Generator and Data Format for Deep Learning in Radiation-Protection Dosimetry for Medical Applications

Felix Lehner, Pasquale Lombardo, Susana Castillo +2

In this research work, we present our open-source Geant4-based Monte-Carlo simulation application, called RadField3D, for generating threedimensional radiation field datasets for d…

cs.GR2024★ 1 cited

Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency

Florian Hahlbohm, Fabian Friederichs, Tim Weyrich +6

3D Gaussian Splats (3DGS) have proven a versatile rendering primitive, both for inverse rendering as well as real-time exploration of scenes. In these applications, coherence acros…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…