Paper Notes
GitHub
SIGGRAPH 2025 · Rendering · 共 55 篇
  • Practical Inverse Rendering of Textured and Translucent Appearance
  • Practical Stylized Nonlinear Monte Carlo Rendering
  • Predicting Fabric Appearance Through Thread Scattering and Inversion
  • Quadric-Based Silhouette Sampling for Differentiable Rendering
  • QUASAR: Quad-based Adaptive Streaming And Rendering
  • Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss
  • Relightable Full-Body Gaussian Codec Avatars
  • RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
  • Reservoir Splatting for Temporal Path Resampling and Motion Blur
  • Segment-based Light Transport Simulation
  • Sobol' Sequences with Guaranteed-Quality 2D Projections
  • Spatiotemporally Consistent Indoor Lighting Estimation with Diffusion Priors
  • Sphere Carving: Bounding Volumes for Signed Distance Fields
  • Spherical Lighting with Spherical Harmonics Hessian
  • Streaming-Aware Neural Monte Carlo Rendering Framework with Unified Denoising-Compression and Client Collaboration
  • Stroke Transfer for Participating Media
  • Towards Comprehensive Neural Materials: Dynamic Structure-Preserving Synthesis with Accurate Silhouette at Instant Inference Speed
  • UltraMeshRenderer: Efficient Structure and Management of GPU Out-of-core Memory for Real-time Rendering of Gigantic 3D Meshes
  • Unbiased Differential Visibility Using Fixed-Step Walk-on-Spherical-Caps And Closest Silhouettes
  • Uncertainty for SVBRDF Acquisition using Frequency Analysis
  • Vector-Valued Monte Carlo Integration Using Ratio Control Variates

    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。

    Journal

    Sobol' Sequences with Guaranteed-Quality 2D Projections

    Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl, Victor Ostromoukhov

    Université Claude Bernard Lyon 1

    SIGGRAPH 2025Rendering
    Sobol SequencesLow-Discrepancy SequencesQuasi-Monte CarloMonte Carlo RenderingSampling2D ProjectionsGenerator MatricesDigital Sequences
    PaperProject
    This note has no summary yet.