Paper Notes
GitHub
SIGGRAPH 2026 · Rendering · 共 53 篇
  • Hybrid Gaussian Wang Tiles for Class-aware Authoring and Rendering
  • Learning View-Dependent Splatting Kernels
  • Lifting Lines and Tone: Image-Space Stylization in Path-Space
  • LightOpt: Lights Optimization for Real-time Rendering
  • Mobile3DGS3: Accelerate Mobile 3DGS Rendering via Gradient-Aware Super-Sampling and Frame Interpolation
  • Monte Carlo Rendering of Biharmonic Diffusion Curves
  • Multi-feature Radiance Baking Neural Networks for Instant Volumetric Rendering
  • Multi-Layer Reservoir Splatting for Temporal Reuse under Disocclusion
  • Neural Quadrature Rule and Autoregressive Adaptive Sampling
  • NILE: Nested Interleaving of Low-Dimensional Elements
  • Object-Space Analysis of Local Contrast Sensitivity for Hierarchical Representations of 3D Gaussians
  • Physics-Inspired Procedural Texturing of Extremely Deformable Surfaces
  • Probe-based Walk on Spheres for Efficient Path Reusing
  • PureSample: Neural Materials Learned by Sampling Microgeometry
  • Radiance Caching for Differentiable Path Tracing
  • Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings
  • Rao-Blackwellized Markov Chain Monte Carlo Light Transport
  • RCGP: Resource Contracts for Graphics Programming
  • Real-Time GPU Vector Graphics SDF Generation Based on Quadratic Stroke Rendering
  • Real-Time Level-of-Detail Rendering with ReSTIR
  • Real-Time Light-Field Path Tracing for 3D Displays via Sparse Spatial-Angular-Temporal Reconstruction

    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

    Object-Space Analysis of Local Contrast Sensitivity for Hierarchical Representations of 3D Gaussians

    Naoto Yoshii, Suguru Saito, Masataka Sawayama, Yoshinori Dobashi

    Institute of Science Tokyo; Hokkaido University

    SIGGRAPH 2026Rendering3D Gaussian SplattingContrast SensitivityLevel Of DetailFoveated RenderingPerceptual Rendering
    Paper
    This note has no summary yet.