Now showing items 1-3 of 3

    • Combating Spurious Correlations in Loose-fitting Garment Animation Through Joint-Specific Feature Learning 

      Diao, Junqi; Xiao, Jun; He, Yihong; Jiang, Haiyong (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      We address the 3D animation of loose-fitting garments from a sequence of body motions. State-of-the-art approaches treat all body joints as a whole to encode motion features, which usually gives rise to learned spurious ...
    • Progressive Graph Matching Network for Correspondences 

      Feng, Huihang; Liu, Lupeng; Xiao, Jun (The Eurographics Association, 2023)
      This paper presents a progressive graph matching network shorted as PGMNet. The method is more explainable and can match features from easy to hard. PGMNet contains two major blocks: sinkformers module and guided attention ...
    • Unsupervised Learning of Disentangled 3D Representation from a Single Image 

      Lv, Junliang; Jiang, Haiyong; Xiao, Jun (The Eurographics Association, 2021)
      Learning 3D representation of a single image is challenging considering the ambiguity, occlusion, and perspective project of an object in an image. Previous works either seek image annotation or 3D supervision to learn ...