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SIGGRAPH 2026 · Geometry & Modeling · 共 66 篇
  • Learned Universal Interoperable Virtual Try-on
  • Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds
  • Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations
  • Manifold k-NN: Accelerated k-NN Queries for Manifold Point Clouds
  • Mechanical Cloaking of Halftoned Imagery
  • MegaNorm: Local Patch Embeddings for Efficient and Robust Point Normal Orientation at Super-Large Scale
  • mpcGear: Multi-Point Conjugation Gear Mechanisms
  • NeuBase: Spline Surfaces with Neural Basis Functions
  • NeuralSketch2Surf: Fast Neural Surfacing of Unoriented 3D Sketches
  • Nonlinear Multigrid for Injective Embedding
  • Persistence-guided Prescribed Topological Simplification
  • Pixels2Peaks: Converting Terrain Images to Heightmaps
  • Points as Tori: Fast Pointwise Signed Distance for Point Clouds
  • PQ-Free HD: Priority-Queue-Free Hausdorff Distance for Triangle Meshes on GPU
  • PR-Cage: Progressive Feasibility Relaxation for Tight Bounding Cage Generation
  • Robust Planar Maps for 3D Vectorization
  • SAND: Spatially Adaptive Network Depth for Fast Sampling of Neural Implicit Surfaces
  • Scalable GPU Construction of 3D Voronoi and Power Diagrams
  • Schrödinger Bridges on Discretized Geometric Domains
  • SharpNet: Enhancing MLPs to Represent Functions with Controlled Non-differentiability
  • Shellular Metamaterial Design via Compact Electric Potential Parametrization

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    Journal

    Persistence-guided Prescribed Topological Simplification

    Linxuan Rong, Tao Ju

    Washington University in St. Louis

    SIGGRAPH 2026Geometry & ModelingTopological SimplificationPersistent HomologyGeometry ProcessingShape ModelingTopological Data Analysis
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