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SIGGRAPH Asia 2025 · Rendering · 共 55 篇
  • NeLiF: Neural Lighting Function Generation for Real-Time Indoor Rendering
  • Neural Hamiltonian Deformation Fields for Dynamic Scene Rendering
  • Neural Visibility of Point Sets
  • NeuralPVS: Learned Estimation of Potentially Visible Sets
  • Nonlinear Noise2Noise for Efficient Monte Carlo Denoiser Training
  • Potentially Visible Set Generation with the Disocclusion Buffer
  • Practical Gaussian Process Implicit Surfaces with Sparse Convolutions
  • RaRa Clipper: A Clipper for Gaussian Splatting Based on Ray Tracer and Rasterizer
  • Realistic Cloth Rendering with a Ray-Wave Hybrid Shading Model
  • 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

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    Journal

    Robust Derivative Estimation with Walk on Stars

    Zihan Yu, Rohan Sawhney, Bailey Miller, Lifan Wu, Shuang Zhao

    NVIDIA; University of California, Irvine

    SIGGRAPH Asia 2025Rendering
    Walk On StarsWalk On SpheresMonte Carlo MethodsPartial Differential EquationsDerivative EstimationNeumann Boundary ConditionsGrid Free Solvers
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