AI RESEARCH
Efficient Transferable Optimal Transport via Min-Sliced Transport Plans
arXiv CS.CV
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ArXi:2511.19741v3 Announce Type: replace Optimal Transport (OT) offers a powerful framework for finding correspondences between distributions and addressing matching and alignment problems in various areas of computer vision, including shape analysis, image generation, and multimodal tasks. The computation cost of OT, however, hinders its scalability. Slice-based transport plans have recently shown promise for reducing the computational cost by leveraging the closed-form solutions of 1D OT problems.