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SIGGRAPH Asia 2025 · Rendering · 共 55 篇
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  • JumpingGS: Level-jump 3D Gaussian Representation for Delicate Textures in Aerial Large-scale Scene Rendering
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  • 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

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    Conference

    Potentially Visible Set Generation with the Disocclusion Buffer

    Sebastian Künzel, Sergej Geringer, Quynh Quang Ngo, Philip Voglreiter, Daniel Weiskopf, Dieter Schmalstieg

    University of Stuttgart

    SIGGRAPH Asia 2025Rendering
    Potentially Visible SetOcclusion CullingVisibility DeterminationReal-Time RenderingGPU
    Paper
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