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20242026
most citedSD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization

2 citations · 2 across the 6 of their papers we have counts for

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cs.CV2025

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.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.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…

cs.CV2024

GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision

Zehao Li, Wenwei Han, Yujun Cai +5

While 3D Gaussian Splatting enables high-quality real-time rendering, existing Gaussian-based frameworks for 3D semantic segmentation still face significant challenges in boundary…

cs.CV2024★ 2 cited

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…