Paper Notes
GitHub
SIGGRAPH Asia 2025 · Rendering · 共 55 篇
  • ReSTIR PG: Path Guiding with Spatiotemporally Resampled Paths
  • Robust Derivative Estimation with Walk on Stars
  • S³ Imagery: Specular Shading from Scratch-Anisotropy
  • Sample Space Partitioning and Spatiotemporal Resampling for Specular Manifold Sampling
  • Scattering-Aware Color Calibration for 3D Printers Using a Simple Calibration Target
  • Sparse Cache Updates for Scalable Distributed Effect-Based Rendering
  • Spectral-GS: Taming 3D Gaussian Splatting with Spectral Entropy
  • Spectral Reconstruction with Uncertainty Quantification via Differentiable Rendering and Null-Space Sampling
  • Statistical Error Reduction for Monte Carlo Rendering
  • StereoFG: Generating Stereo Frames from Centered Feature Stream
  • STGlight: Online Indoor Lighting Estimation via Spatio-Temporal Gaussian Fusion
  • SZ Sequences: Binary-Based (0, 2^q)-Sequences
  • TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores
  • Vertex Features for Neural Global Illumination
  • WATER: Watertight Tessellation for Real-Time Pixel-Accurate Rendering of Large-Scale Surfaces

    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

    STGlight: Online Indoor Lighting Estimation via Spatio-Temporal Gaussian Fusion

    Shiyuan Shen, Zhongyun Bao, Hong Ding, Wenju Xu, Tenghui Lai, Chunxia Xiao

    Wuhan University; OPPO

    SIGGRAPH Asia 2025Rendering
    Indoor Lighting EstimationSpatio-Temporal FusionGaussian RepresentationOnline EstimationRelighting
    Paper
    This note has no summary yet.