collaborators

11 papers

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

DeWorldSG: Depth-Aware 3D Semantic Scene Graph Generation via World-Model Priors

Seok-Young Kim, Abdelrahman Elskhawy, Taewook Ha +4

We present DeWorldSG, a novel framework that generates spatio-temporally robust 3D Semantic Scene Graphs from RGB-D sequences. Existing methods often struggle to construct reliable…

cs.CV2026

Supercharging Thermal Gaussian Splatting with Depth Estimation

Manoj Biswanath, Chenxin Cai, Hannah Schieber +2

Efficient and robust 3D scene representation is crucial in autonomous driving, robotics, and related fields. While RGB images provide valuable content for 3D reconstruction, other…

cs.CV2026

CoMoGen: COntrollable MOtion Dynamics and Interactions with Mask-Guided Video GENeration

Adil Meric, Lin Geng Foo, Mert Kiray +3

We present CoMoGen, a controllable video generation framework that generates realistic interactive dynamics from a single binary mask sequence conditioned on an input image. CoMoGe…

cs.CV2026

3D Segmentation Using Viewpoint-Dependent Spatial Relationships

Ayaka Nanri, Klara Reichard, Mert Kiray +3

Recent advances in 3D datasets and multimodal models have greatly improved natural language 3D scene understanding. However, most 3D referring segmentation methods do not explicitl…

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.…