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20242026
most citedTo Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models

1 citations · 2 across the 11 of their papers we have counts for

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cs.CV2026

UnderOneFacade: Worldwide Facade Semantic Segmentation Benchmark Dataset

Yi Wang, Fan Wang, Prabin Gyawali +9

Globally consistent semantic digital twins require centimeter-accurate and geographically transferable 3D facade segmentation. However, progress in facade parsing is limited by the…

cs.CV2026

ConFixGS: Learning to Fix Feedforward 3D Gaussian Splatting with Confidence-Aware Diffusion Priors in Driving Scenes

Rui Song, Tianhui Cai, Markus Gross +5

Feedforward 3D Gaussian Splatting (3DGS) often struggles in trajectory-based sparse-view driving scenes. Existing Gaussian repair methods mainly target optimization-based 3DGS, whi…

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.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.CV20251 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…