collaborators

9 papers

cs.CV2026

GeoPano: Towards Geometrically Accurate 3D Reconstruction from a Single Panorama

Jing OU, Zidong Cao, Liaoyuan Fan +7

Panoramic 3D reconstruction enables the holistic recovery of complete 360 scene geometry, offering significant benefits for robotics and AR/VR applications. However, direc…

cs.CV2026

CitySTAR: Structured and Topology-Aware Reasoning for Open-Vocabulary Urban 3D Grounding

Shuai Zhang, Hongye Hou, Qinghe Liu +5

3D grounding aims to localize target entities in complex scenes from natural language and plays a fundamental role in embodied perception and spatial reasoning. However, existing a…

cs.RO2026

GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors

Dongli Wu, Xiaobao Wei, Hao Wang +5

Robotic grasping is a fundamental capability in robotic manipulation. Yet grasping remains challenging under partial observations. Reliable grasping depends on both local contact c…

cs.CV2026

Sat2City v2: Native 3D City Asset Generation from a Single Satellite Image

Tongyan Hua, Dongli Wu, Jinjing Zhu +5

Generating explicit textured 3D city assets from a single satellite image is important for urban simulation and digital twins. Most prior methods, however, learn 3D proxies optimiz…

cs.CV2026

Feed-Forward Gaussian Splatting from Sparse Aerial Views

Dongli Wu, Zhuoxiao Li, Tongyan Hua +4

Reconstructing large-scale urban scenes from sparse aerial views is a crucial yet challenging task. Due to biased top-down and shallow-oblique camera poses, sparse aerial captures…

cs.CV2026

PhyMix: Towards Physically Consistent Single-Image 3D Indoor Scene Generation with Implicit--Explicit Optimization

Dongli Wu, Jingyu Hu, Ka-Hei Hui +4

Existing methods for single-image 3D indoor scene generation often produce visually plausible results that violate real-world physical constraints, limiting their reliability in ro…

cs.CV2026

MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation

Baicheng Li, Dong Wu, Jun Li +4

Recent unified 3D generation models have made remarkable progress in producing high-quality 3D assets from a single image. Notably, layout-aware approaches such as SAM3D can recons…

cs.RO2025

RoboArmGS: High-Quality Robotic Arm Splatting via Bézier Curve Refinement

Hao Wang, Xiaobao Wei, Ying Li +6

Constructing photorealistic and controllable robotic arm digital assets from real observations is fundamental to robotic applications. Current approaches naively bind static 3D Gau…

cs.CV2025

DNRSelect: Active Best View Selection for Deferred Neural Rendering

Dongli Wu, Haochen Li, Xiaobao Wei

Deferred neural rendering (DNR) is an emerging computer graphics pipeline designed for high-fidelity rendering and robotic perception. However, DNR heavily relies on datasets compo…