Due to the DNS switch, the system will be going down. Please save your work and logout.

Now showing items 1-1 of 1

    • WTFM Layer: An Effective Map Extractor for Unsupervised Shape Correspondence 

      Liu, Shengjun; Xu, Haojun; Yan, Dong-Ming; Hu, Ling; Liu, Xinru; Li, Qinsong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a novel unsupervised learning approach for computing correspondences between non-rigid 3D shapes. The core idea is that we integrate a novel structural constraint into the deep functional map pipeline, a recently ...