collaborators

9 papers

cs.CG2026

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…

cs.GR2026

Real-time Rendering of Pre-integrated Neural Emitters

Arno Coomans, Floor Verhoeven, Edoardo A. Dominici +1

Direct illumination from non-trivial emitters with occluding housing, high-polygon emissive meshes, spatially varying emission, or deformable assemblies is a persistent bottleneck…

cs.CV2026

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…

cs.CV2026

The Domain Is a Residue: Adapting Self-Supervised Features, Not Generators

Thomas Deixelberger, Markus Steinberger

Clearing fog, rain or snow from footage, or turning renders into photographs, must remove the source domain and keep the scene. Unpaired translators carry it through because their…

cs.GR2026

Real-time Rendering with a Neural Irradiance Volume

Arno Coomans, Giacomo Nazzaro, Edoardo A. Dominici +4

Rendering diffuse global illumination in real-time is often approximated by pre-computing and storing irradiance in a 3D grid of probes. As long as most of the scene remains static…

cs.GR2025

NeuralPVS: Learned Estimation of Potentially Visible Sets

Xiangyu Wang, Thomas Köhler, Jun Lin Qiu +3

Real-time visibility determination in expansive or dynamically changing environments has long posed a significant challenge in computer graphics. Existing techniques are computatio…

cs.GR2025

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…

cs.GR2025

DreamAnywhere: Object-Centric Panoramic 3D Scene Generation

Edoardo Alberto Dominici, Jozef Hladky, Floor Verhoeven +9

Recent advances in text-to-3D scene generation have demonstrated significant potential to transform content creation across multiple industries. Although the research community has…

cs.GR2025

SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction

Lukas Radl, Felix Windisch, Thomas Deixelberger +4

Recent advances in 3D Gaussian representations have significantly improved the quality and efficiency of image-based scene reconstruction. Their explicit nature facilitates real-ti…