Now showing items 11-15 of 15

    • SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation 

      Zheng, Xinyang; Liu, Yang; Wang, Pengshuai; Tong, Xin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a StyleGAN2-based deep learning approach for 3D shape generation, called SDF-StyleGAN, with the aim of reducing visual and geometric dissimilarity between generated shapes and a shape collection. We extend ...
    • SGP 2022 CGF 41-5: Frontmatter 

      Campen, Marcel; Spagnuolo, Michela (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    • Smooth Interpolating Curves with Local Control and Monotone Alternating Curvature 

      Binninger, Alexandre; Sorkine-Hornung, Olga (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a method for the construction of a planar curve based on piecewise clothoids and straight lines that intuitively interpolates a given sequence of control points. Our method has several desirable properties that ...
    • TinyAD: Automatic Differentiation in Geometry Processing Made Simple 

      Schmidt, Patrick; Born, Janis; Bommes, David; Campen, Marcel; Kobbelt, Leif (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Non-linear optimization is essential to many areas of geometry processing research. However, when experimenting with different problem formulations or when prototyping new algorithms, a major practical obstacle is the need ...
    • Topological Simplification of Nested Shapes 

      Zeng, Dan; Chambers, Erin; Letscher, David; Ju, Tao (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a method for removing unwanted topological features (e.g., islands, handles, cavities) from a sequence of shapes where each shape is nested in the next. Such sequences can be found in nature, such as a multi-layered ...