collaborators

7 papers

cs.CV2026

Bri3D: Bridging the Object-Scene Gap in Single-Image 3D Generation via Scene-Anchor

Hongye Hou, Shuai Zhang, Hongjie Li +4

Generating compositional 3D scenes from a single image requires recovering detailed object geometry and coherent spatial arrangements. Existing object-to-scene methods, including S…

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.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

Holo360D: A Large-Scale Real-World Dataset with Continuous Trajectories for Advancing Panoramic 3D Reconstruction and Beyond

Jing Ou, Zidong Cao, Yinrui Ren +6

While feed-forward 3D reconstruction models have advanced rapidly, they still exhibit degraded performance on panoramas due to spherical distortions. Moreover, existing panoramic 3…

cs.CV2026

EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation

Yinrui Ren, Jinjing Zhu, Kanghao Chen +8

Event cameras offer superior sensitivity to high-speed motion and extreme lighting, making event-based monocular depth estimation a promising approach for robust 3D perception in c…

cs.CV2025

Beyond a Single Light: A Large-Scale Aerial Dataset for Urban Scene Reconstruction Under Varying Illumination

Zhuoxiao Li, Wenzong Ma, Taoyu Wu +8

Recent advances in Neural Radiance Fields and 3D Gaussian Splatting have demonstrated strong potential for large-scale UAV-based 3D reconstruction tasks by fitting the appearance o…