Paper Notes
GitHub
SIGGRAPH Asia 2024 · Geometry & Modeling · 共 56 篇
  • Neural Laplacian Operator for 3D Point Clouds
  • Occupancy-Based Dual Contouring
  • Optimized shock-protecting microstructures
  • ParSEL: Parameterized Shape Editing with Language
  • PCO: Precision-Controllable Offset Surfaces with Sharp Features
  • Polynomial Cauchy Coordinates for Curved Cages
  • Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs
  • Quad mesh mechanisms
  • Real-time Large-scale Deformation of Gaussian Splatting
  • Robust Symmetry Detection via Riemannian Langevin Dynamics
  • Sharpening and Sparsifying with Surface Hessians
  • SING: Stability-Incorporated Neighborhood Graph
  • SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
  • SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation
  • Stochastic Normal Orientation for Point Clouds
  • Stripe Embedding: Efficient Maps with Exact Numeric Computation
  • Tencers: Tension-Constrained Elastic Rods
  • Text-guided Controllable Mesh Refinement for Interactive 3D Modeling
  • Tune-It: Optimizing Wire Reconfiguration for Sculpture Manufacturing
  • UFO Instruction Graphs Are Machine Knittable

    从搜索结果或列表筛选点进论文后，这里会显示那一批结果。

    Conference

    Sharpening and Sparsifying with Surface Hessians

    Dylan Rowe, Alec Jacobson, Oded Stein

    University of Southern California; University of Toronto; Adobe Research

    SIGGRAPH Asia 2024Geometry & Modeling
    Geometry ProcessingHessian EnergyL1 RegularizationSurface SmoothingSparse Optimization
    Paper
    This note has no summary yet.