4 papers
CorrMoE: Mixture of Experts with De-stylization Learning for Cross-Scene and Cross-Domain Correspondence Pruning
Peiwen Xia, Tangfei Liao, Wei Zhu +5
Establishing reliable correspondences between image pairs is a fundamental task in computer vision, underpinning applications such as 3D reconstruction and visual localization. Alt…
CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning
Wei Zhu, Yicheng Liu, Yuping He +5
In the fields of computer vision and robotics, accurate pixel-level correspondences are essential for enabling advanced tasks such as structure-from-motion and simultaneous localiz…
Scalable and Generalizable Correspondence Pruning via Geometry-Consistent Pre-training
Tangfei Liao, Xiaoqin Zhang, Tao Wang +4
Two-view correspondence pruning aims to identify reliable correspondences for camera pose estimation, serving as a fundamental step in many 3D vision tasks. Existing methods rely o…
VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning
Tangfei Liao, Xiaoqin Zhang, Li Zhao +2
Correspondence pruning aims to find correct matches (inliers) from an initial set of putative correspondences, which is a fundamental task for many applications. The process of fin…