5 papers
BridgeMatch: Conditional Transport Bridges in Matching Matrix Space for 3D Deformable Registration
Qianliang Wu, Haobo Jiang, Guangwei Gao +5
Non-rigid point cloud registration depends on accurate correspondences under deformation and partial visibility. Existing coarse-to-fine methods use coarse matches to select region…
Self-Consistent Generative Paths via Admissible Random Variational Transport
Lei Luo, Yingzhen Zhang, Jian Yang
Modern generative models often define an entire probability path from a simple prior to the data law, rather than only an endpoint map. Diffusion models follow stochastic denoising…
From Cone Geometry to Monge Structure: Local Defects and Global Regret in High-Dimensional Optimal Transport
Lei Luo, Jian Yang
Exact optimal transport in high dimensions becomes tractable only when additional structure selects the optimal coupling. Classical Monge transportation solves the discrete problem…
Diff-Reg v2: Diffusion-Based Matching Matrix Estimation for Image Matching and 3D Registration
Qianliang Wu, Haobo Jiang, Yaqing Ding +5
Establishing reliable correspondences is crucial for all registration tasks, including 2D image registration, 3D point cloud registration, and 2D-3D image-to-point cloud registrati…
Diff-Reg v1: Diffusion Matching Model for Registration Problem
Qianliang Wu, Haobo Jiang, Lei Luo +4
Establishing reliable correspondences is essential for registration tasks such as 3D and 2D3D registration. Existing methods commonly leverage geometric or semantic point features…