activity
20232026
most citedFeatureGS: Eigenvalue-Feature Optimization in 3D Gaussian Splatting for Geometrically Accurate and Artifact-Reduced Reconstruction

10 citations · 13 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2026

ZVeC: A Zero-Shot Framework for Instance-Level Vehicle Extraction and Generative Point Cloud Completion

Daisy Li, Kyle Gao, Quanyun Wu +3

LiDAR point clouds acquired in underground environments exhibit severe geometric incompleteness due to occlusions and limited sensor viewpoints, making reliable point cloud complet…

cs.CV2026

BathyFacto: Refraction-Aware Two-Media Neural Radiance Fields for Bathymetry

Markus Brezovsky, Anatol Günthner, Frederik Schulte +3

Through-water photogrammetry from UAV imagery enables shallow-water bathymetry, but refraction at the air--water interface violates the straight-ray assumption of Structure-from-Mo…

cs.CV2026

GS4City: Hierarchical Semantic Gaussian Splatting via City-Model Priors

Qilin Zhang, Jinyu Zhu, Olaf Wysocki +2

Recent semantic 3D Gaussian Splatting (3DGS) methods primarily rely on 2D foundation models, often yielding ambiguous boundaries and limited support for structured urban semantics.…

cs.CV2026

EntON: Eigenentropy-Optimized Neighborhood Densification in 3D Gaussian Splatting

Miriam Jäger, Boris Jutzi

We present a novel Eigenentropy-optimized neighboorhood densification strategy EntON in 3D Gaussian Splatting (3DGS) for geometrically accurate and high-quality rendered 3D reconst…

cs.CV2025

CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps

Franz Hanke, Antonia Bieringer, Olaf Wysocki +1

Detailed 3D building models are crucial for urban planning, digital twins, and disaster management applications. While Level of Detail 1 (LoD)1 and LoD2 building models are widely…

cs.CV2025

GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction

Qilin Zhang, Olaf Wysocki, Boris Jutzi

Recent advances in Gaussian Splatting (GS) have demonstrated its effectiveness in photo-realistic rendering and 3D reconstruction. Among these, 2D Gaussian Splatting (2DGS) is part…

cs.CV2025★ 1 cited

To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models

Simone Gaisbauer, Prabin Gyawali, Qilin Zhang +2

Feature matching is a necessary step for many computer vision and photogrammetry applications such as image registration, structure-from-motion, and visual localization. Classical…

cs.CV2025

TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset

Olaf Wysocki, Benedikt Schwab, Manoj Kumar Biswanath +31

Urban Digital Twins (UDTs) have become essential for managing cities and integrating complex, heterogeneous data from diverse sources. Creating UDTs involves challenges at multiple…

cs.CV2025

Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images

Wenzhao Tang, Weihang Li, Xiucheng Liang +4

Despite recent advancements in surface reconstruction, Level of Detail (LoD) 3 building reconstruction remains an unresolved challenge. The main issue pertains to the object-orient…

cs.CV2025

OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion

Shuhao Kang, Martin Y. Liao, Yan Xia +3

LiDAR place recognition is a critical capability for autonomous navigation and cross-modal localization in large-scale outdoor environments. Existing approaches predominantly depen…

cs.CV2025★ 10 cited

FeatureGS: Eigenvalue-Feature Optimization in 3D Gaussian Splatting for Geometrically Accurate and Artifact-Reduced Reconstruction

Miriam Jäger, Markus Hillemann, Boris Jutzi

3D Gaussian Splatting (3DGS) has emerged as a powerful approach for 3D scene reconstruction using 3D Gaussians. However, neither the centers nor surfaces of the Gaussians are accur…

cs.CV2024

HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2

Miriam Jäger, Theodor Kapler, Michael Feßenbecker +3

In the fields of photogrammetry, computer vision and computer graphics, the task of neural 3D scene reconstruction has led to the exploration of various techniques. Among these, 3D…

cs.CV2023★ 2 cited

Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints

Miriam Jäger, Steven Landgraf, Boris Jutzi

In the fields of computer graphics, computer vision and photogrammetry, Neural Radiance Fields (NeRFs) are a major topic driving current research and development. However, the qual…