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cs.CV2026

BendTwin: Robust Dense-to-Sparse Physical Reconstruction with Bending-Aware Differentiable Spring-Mass Models

Yixiong Jing, Qi Wang, Lin Chen +6

Reconstructing objects with mechanical properties from video observations enables physically consistent dynamic prediction, benefiting robotics planning and interaction. Existing s…

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

SemCityLoc: Aerial 6DoF Localization Using Semantic 3D City Models

Jingfeng Mao, Xuyang Chen, Qilin Zhang +6

Aerial 6DoF localization typically relies on precise GNSS signals or radiometrically rich 3D reconstructions, limiting scalability and on-board deployment. We propose SemCityLoc, a…

cs.CV2026

NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics

Qizhen Ying, Guangming Wang, Yangchen Pan +3

Physics-grounded video generation requires controllable 3D object dynamics that remain physically consistent under contact, deformation, and external forcing. Existing trajectory-b…

cs.CV2025

InfraDiffusion: zero-shot depth map restoration with diffusion models and prompted segmentation from sparse infrastructure point clouds

Yixiong Jing, Cheng Zhang, Haibing Wu +3

Point clouds are widely used for infrastructure monitoring by providing geometric information, where segmentation is required for downstream tasks such as defect detection. Existin…

cs.CV2025

A 3D Multimodal Feature for Infrastructure Anomaly Detection

Yixiong Jing, Wei Lin, Brian Sheil +1

Ageing structures require periodic inspections to identify structural defects. Previous work has used geometric distortions to locate cracks in synthetic masonry bridge point cloud…