activity
20242026
collaborators

7 papers

cs.CV2026

DVP-MVS++: Synergize Depth-Normal-Edge and Harmonized Visibility Prior for Multi-View Stereo

Zhenlong Yuan, Dapeng Zhang, Zehao Li +8

Recently, patch deformation-based methods have demonstrated significant effectiveness in multi-view stereo due to their incorporation of deformable and expandable perception for re…

cs.AI2026

FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning

Zehao Li, Hongwei Yu, Hao Jiang +7

Multimodal large language models (MLLMs) have substantially advanced video misinformation detection through unified multimodal reasoning, but they often rely on fixed-depth inferen…

cs.CV2025

SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization

Zhenlong Yuan, Jiakai Cao, Zhaoxin Li +2

In this paper, we introduce Segmentation-Driven Deformation Multi-View Stereo (SD-MVS), a method that can effectively tackle challenges in 3D reconstruction of textureless areas. W…

cs.CV2025

HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene

Jianing Chen, Zehao Li, Yujun Cai +7

Reconstructing dynamic 3D scenes from monocular videos remains a fundamental challenge in 3D vision. While 3D Gaussian Splatting (3DGS) achieves real-time rendering in static setti…

cs.GR2025

STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering

Zehao Li, Hao Jiang, Yujun Cai +7

Although dynamic scene reconstruction has long been a fundamental challenge in 3D vision, the recent emergence of 3D Gaussian Splatting (3DGS) offers a promising direction by enabl…

cs.CV2025

SED-MVS: Segmentation-Driven and Edge-Aligned Deformation Multi-View Stereo with Depth Restoration and Occlusion Constraint

Zhenlong Yuan, Zhidong Yang, Yujun Cai +6

Recently, patch-deformation methods have exhibited significant effectiveness in multi-view stereo owing to the deformable and expandable patches in reconstructing textureless areas…